Ethical Artificial Intelligence

Latest

new The emergence of ChatGPT plugins developed by various companies exemplifies this trajectory, where generalized chatbots won’t handle every task but can provide valuable solutions within niche contexts, as seen with Expedia simplifying travel planning. While the question remains whether this will lead to an “iPhone moment” or challenge Google search, the initial shift will likely involve organizations integrating large language models (LLMs) to learn from their own data and services. — CDInsights, 15h ago

new ...“Our customised optical systems remove the constraints of human observation, providing an exponential increase in the amount of data provided to the AI and autonomy to help it understand both the environment, and the context, of what it is looking at,” he said. — Australian Financial Review, 19h ago

new Their solutions are characterized by accurately recognizing objects, faces, poses, and features, such as object segmentation and depth detection, making them highly applicable in various industries. Mind Forge has supplied AI solutions to major Korean companies and organizations through these differentiated technologies. It has participated in six consortiums since 2020 in the data construction project for AI learning of the National Information Society Agency (NIA). — Journal of Cyber Policy, 19h ago

new AI systems are often presumed to be completely impartial and neutral. Artificial intelligence acquires biases that exist in the data it is trained on. Developers must actively strive to reduce biases, however achieving total impartiality remains a difficult task. — techgig.com, 1d ago

new There are two aspects to algorithmic bias: human-induced and data-induced. Human-induced bias is defined as being intentional or unintentional, and these biases (like data-induced ones) are often reinforced and amplified as new iterations of algorithms accumulate past data. The data is unrepresentative and/or insufficient in the case of data-induced bias. While there are ways to combat algorithmic biases (such as taking measures to ensure that the data is diverse and has been reviewed before feeding it to medical AI tools), the fact that deep learning is a black box makes biases easily undetectable—thus making it easier to deliver discriminatory treatment (whether it is intentional or unintentional). — Montreal AI Ethics Institute, 1d ago

new ...000, 1, 10, 11, 12, 13, 14, 2024, 31, 4k, 7, 75, 8, 8k, 9, a, ability, accuracy, accurate, acknowledged, across, Adaptable, addition, Additional, advance, advanced, Agent, agents, Aggregation, ahead, AI, ai game, ai research, AI-Powered, AI/ML, algorithm, All, Allowing, amp, an, analytical, analytics, and, ANN, any, Apache, Apache Cassandra, api, Application, Application Development, applications, approximate, architecture, ARE, article, Artificial, artificial intelligence, AS, At, attractive, Automated, automatic, availability, available, backups, based, BATCH, BE, become, BEST, Best Tools, between, biases, broad, Built, built-in, by, cannot, capabilities, capability, Cassandra, Catering, center, chatbots, check, chemical, choice, choose!, classification, client, closest, Cloud, cluster, clustering, Column, combining, commitment, community, comparing, compatibility, compatible, complete, complex, compliance, comprehensive, Compression, concepts, Conclusion, Configuration, Consider, constant, contents, continues, continuous, controllers, Core, Costs, course, CQL, Crafted, Creating, creation, criteria, cross, crucial, Curriculum, curve, data, data center, data compression, data extraction, data management, data points, data processing, data quality, Data Science, data storage, data types, data volumes, data-driven, Database, databases, Datasets, dbms, dealing, decision, deep, definition, Demand, dense, density, Deployment, depth, designed, Detection, developed, Developer, Developer Experience, developers, developing, Development, different, dimensional, disaster, Disaster Recovery, discern, discover, disk, distance, distances, distributed, Distribution, diverse, driven, Due, Duplicate, During, e, each, easy, easy-to-use, Effective, efficiency, efficient, efficiently, Elasticsearch, Eliminates, embedding, enabling, engine, Engineering, enhance, enhanced, Ensures, Environment, environments, estimates, evolve, evolving, exact, Excel, Execution, existing, expanding, expected, experience, Experiences, Explores, extension, extensive, external, extraction, Facebook, Facebook AI Research, facilitate, factors, Failure, FAST, Feature, Features, field, filtering, filters, Flexible, Focus, following, For, For You, format, Framework, Free, fully, functionalities, functions, further, G, game, Gen, generate, generative, Generative AI, GitHub, given, Google, Graph, handle, Handling, hands, hands on, hashing, hassle, hassle-free, Have, High, high availability, highly, Highly Scalable, horizontal, Host, HOURS, How, How To, Hybrid, ideal, if, image, Image Search, immersive, immersive learning, implementation, importance, Improved, in, in-depth, include, Including, increased, increasingly, Independent, index, indexing, industry, information, Infrastructure, inner, Innovation, insights, integral, integration, integrations, Intelligence, Intelligent, into, Introduction, Is, IT, ITS, JavaScript, judgments, Key, Key Features, L2, lack, landscape, language, language model, Languages, large, latency, learned, learning, Level, level up, Library, licensed, lies, lightning, lightning-fast, like, lineage, LLM, low, machine, machine learning, maintenance, maintenance costs, make, Making, manage, managed, management, managing, manipulation, massive, master, Match, matches, matching, maximum, Mentorship, merges, metadata, method, methods, Metrics, Might, milliseconds, mind, ML, ML Models, MLops, model, models, Modules, more, multidimensional, Multimodal, multiple, must, mysql, native, Natural, Natural Language, natural language processing, nearest, Need, neighbor, neighbors, network, Neural, neural network, no, Node, nosql, NoSQL Database, numbers, object, Object Storage, of, offering, Offers, on, online, open, open source, Operations, operator, operators, Options, or, orchestration, organizing, oriented, Other, our, out, Outages, overstated, overview, payload, peace, per, persistent, photos, Pinnacle, pivotal, plato, Plato Data Intelligence, PlatoData, play, plethora, points, PostgreSQL, power, power outages, Powered, practical, predefined, processing, Product, Production, Program, Programming, programming languages, project, projects, proposed, provided, provides, providing, purpose, purposes, Python, Q&A, quality, queries, query, QUERY LANGUAGE, Querying, quick, range, rank, rapid, rapidly, rate, ready, real, real-time, realm, rebalancing, recovery, redundancy, RELATED, Relationships, relevance, reliability, Replication, representation, representations, Requirements, research, resilient, Results, retrieval, returns, rich, Right, rise, robust, role, s, same, Scalability, Scalable, scaling, scenarios, Science, seamless, seamlessly, Search, search engine, searchable, searches, searching, security, selecting, Semantic, Service, serving, sessions, Share, significance, similarities, similarity, Simple, simplifies, single, solution, Solutions, source, Space, specialize, specialized, SQL, stands, Stars, storage, store, storing, streaming, strong, structure, structured, Structured Data, struggle, Such, suitable, support, Supported, Supporting, Supports, table, tailored, tasks, Team, Testing, text, that, The, The Landscape, their, Them, then, There, this, Through, time, to, tool, tools, top, Tracking, traditional, Training, transfer, transforms, trillions, try, tuning, types, Understanding, Uniform, unique, unique features, Unlike, unstructured, unstructured data, up, Upcoming, use, Used, User, users, uses, using, utilizing, Various, vector, vector database, versatile, visual, volume, volumes, vs, want, way, we, Website, weights, What, When, where, while, wide, widely, will, with, wonders, words, working, write, yes, You, Your, zephyrnet... — Zephyrnet, 1d ago

Latest

new Sanghvi also recalls how earlier, in case of emergencies, she had to travel at night to the hospital to dictate the report to the typist. “But now, with all the data being stored on the cloud, we can do everything at home,”she says. “All doctors now have their own voice recognition passwords. I verbally dictate the report to the AI from home, and it captures everything and relays it back to the treating doctor in the hospital.”Sanghvi says more than any other branch of medicine, radiology is the foremost branch being impacted by AI. “The reason is that the information is already in a digital form, so it helps us―right from image acquisition, post processing to image interpretation and making the report,”she says. — theweek.in, 1d ago

new AI and regulated industries: “One of the surprises to me over the past 12 months are the regulated industries. These are industries that potentially don’t have the best reputation for being in the vanguard of technology: insurance, financial services, health care, life sciences, all these sorts of things. But in an ironic twist, all of the regulations that they’ve been working through over the past 20-30 years have been around data privacy, and data governance, and data standards, and structured data quality. They’re all the things you need to have in place to successfully apply your own data to generative AI. … For a very small incremental investment, they can start applying that data with generative AI really, really quickly; really, really easily.”... — GeekWire, 1d ago

new The job of marketing professionals, however consistent in goal, allows for a nearly infinite amount of variety. With that comes freedom to be creative, inventive, and forward thinking. While such systems as AI and big data analysis have enabled impressive and effective ways to measure effective marketing strategies, there are still other ways to go about enhancing marketing campaigns for successful returns.With the number of analytical tools, proven marketing strategies, predictive consumer behavioral patterns, and design techniques, there are still a number of other ways to engage consumers.Here are some design thinking tools and techniques which can help to create compelling digital marketing content. However, let’s begin by unpacking what is meant by design thinking. — SmartData Collective, 1d ago

theweek.in, 1d ago

new How artificial intelligence is redefining health care in India – Techregister

Datanami, 4d ago

Data and Algorithms: The Building Blocks of Artificial Intelligence

gbiimpact.com, 6d ago

A CISO’s Guide to the AI Opportunity in Security Operations

Semiconductor Engineering, 4d ago

EDA Pushes Deeper Into AI

Fast Company, 4d ago

What year 2 of the generative AI craze will look like, according to 41 experts

Top

For example, real world data is used to "train" AI systems, or improve them. With ChatGPT, this is gathered from the internet. While it helps AI systems become more useful, all that "real world" information can also pass on flawed assumptions and prejudices to the system itself. This can lead to algorithmic bias (where the AI favors one group or option over another) or inappropriate and disproportionate responses by the AI. As such, sample training data for weapons systems needs to be carefully scrutinized with ethical warfare in mind. — techxplore.com, 17d ago

For example, real world data is used to “train” AI systems, or improve them. With ChatGPT, this is gathered from the internet. While it helps AI systems become more useful, all that “real world” information can also pass on flawed assumptions and prejudices to the system itself. This can lead to algorithmic bias (where the AI favours one group or option over another) or inappropriate and disproportionate responses by the AI. As such, sample training data for weapons systems needs to be carefully scrutinised with ethical warfare in mind. — EconoTimes, 15d ago

First and foremost, the reference to “sufficiently detailed summary” must be replaced with a more concrete requirement. Instead of focussing on the content of training data sets, this obligation should focus on the copyright compliance policies followed during the scraping and training stages. Developers of generative AI systems should be required to provide a detailed explanation of their compliance policy including a list of websites and other sources from which the training data has been reproduced and extracted, and a list of the machine-readable rights reservation protocols/techniques that they have complied with during the data gathering process. In addition, the AI Act should allocate the responsibility to further develop transparency requirements to the to-be-established Artificial Intelligence Board (Council) or Artificial Intelligence Office (Parliament). This new agency, which will be set up as part of the AI Act, must serve as an independent and accountable actor, ensuring consistent implementation of the legislation and providing guidance for its application. On the subject of transparency requirements, an independent AI Board/Office would be able to lay down best-practices for AI developers and define the granularity of information that needs to be provided to meet the transparency requirements set out in the Act. — COMMUNIA Association, 27d ago

...a, ability, access, access controls, accessing, accordingly, accountability, accumulate, accuracy, accurate, accurately, acknowledge, actionable, activities, Additionally, address, adherence, Adopt, advanced, advanced analytics, advantages, Age, AI, AI algorithms, algorithms, align, All, allocate, Allowing, also, among, amount, amounts, an, analysis, Analysts, analytical, analytics, Analyze, Analyzing, and, anomalies, any, apparent, Applying, approach, ARE, areas, Arise, AS, Assessments, Attainable, attempts, attention, attitudes, Audits, automate, Automated, Backed, based, BE, become, becomes, before, being, benefit, benefits, BEST, best practices, beyond, biases, BIG, Big Data, big data tools, bottlenecks, bound, breaches, business, Business Benefits, business performance, business processes, businesses, But, by, CAN, can help, chain, challenge, challenges, challenging, change, changes, channels, characterized, Charts, Choices, clear, Collect, collected, Collecting, collection, comfortable, Companies, competitiveness, complements, complex, compliance, complying, component, components, comprehensive, compromise, conducted, conjunction, consolidate, controlling, controls, correlations, Cost, Cost savings, could, could include, create, crucial, Culture, Current, currently, customer, Customer Feedback, Customer satisfaction, Customers, Customizable, cyberattacks, Dashboards, data, data accuracy, data analysis, Data Analytics, data collection, data entry, data governance, data integration, data quality, data security, data security and privacy, data sets, data strategy, data visualization, data-driven, data-driven insights, dataset, Datasets, DATAVERSITY, decision, decision-makers, decisions, defining, deliver, Demand, demands, departments, descriptive, descriptive analytics, designed, develop, DG, Dialogue, different, disparate, Drive, driven, Due, During, easier, Effective, effectively, efficiently, efforts, eliminating, embracing, employed, employees, empowers, enable, enabled, enables, enabling, encourages, encouraging, encryption, engage, enhance, enhances, ensure, Ensures, ensuring, entry, errors, essential, establish, Evaluate, Every, Evidence, Examining, expectations, experience, experiments, extend, external, extract, extracted, faced, fact, fact-based, factors, Facts, fear, feedback, filtering, Finally, Firewalls, First, flawed, For, forecast, formats, Fostering, fosters, fragmentation, fragmented, frameworks, from, future, gain, gaps, gather, gathered, Gathering, governance, graphs, Growth, guesswork, guide, hacking, handle, happens, Harnessing, Have, hazards, Help, helps, here, hidden, highest, historical, historical data, holistic, How, However, human, human errors, human language, Hurdles, identify, identifying, image, Impact, implementation, implementing, importance, important, Improved, improvement, improving, in, inaccuracies, include, includes, incompatible, incomplete, inconsistent, increased, increases, increasingly, indicators, individuals, industry, Industry Reports, information, information becomes, informed, Innovation, insecurity, Insider, insider threats, insights, integration, interactive, interpretation, Interviews, into, introduce, intuition, invest, investment, Investments, involved, involves, irrelevant, Is, issues, IT, ITS, Job, Key, Key Performance Indicators, KPIs, lack, landscape, language, large, lead, Leaders, Leadership, leading, learning, Leverage, leveraging, License, lies, likelihood, location, machine, machine learning, Machines, Made, Main, maintaining, maintenance, major, major issues, make, Making, making informed, management, managing, manual, Market, Marketing, maximum, May, meaning, meaningful, measurable, measures, Media, methods, Might, Mindset, minimize, mitigate, ML, ML algorithms, modeling, models, Modern, monetary, Monitor, more, Moreover, most, must, Navigate, necessary, Need, needs, Next, next step, NLP, objectives, observations, of, often, on, ONE, only, open, Operations, operators, Opinions, opportunities, optimize, Options, or, organization., organizations, organizing, Other, outcomes, outdated, overall, overall business, Overcome, overcome resistance, overcoming, overwhelming, Own, own information, particularly, past, patterns, peers, performance, personal, personal data, place, plato, Plato Data Intelligence, PlatoData, play, plays, policies, Posts, potential, potential risks, power, practices, predict, Predictions, Predictive, predictive analytics, Predictive Modeling, preferences, presented, prevent, previous, primary, privacy, privacy regulations, problems, procedures, Process, processes, processing, productivity, Products, professionals, Progress, promoting, proper, protect, provide, provided, providing, purchase, qualitative, quality, quantifiable, quantitative, quick, quickly, rather, real, real-time, reduce, reducing, redundant, refers, regarding, regular, regularly, regulations, regulatory, Relationships, relevant, Relevant Information, reliability, reliable, relying, repeat, repetitive, Reporting, Reports, required, Requirements, requires, Resistance, Resources, resulting, Results, return, return on investment, reviewing, rewarding, risks, Roadmap, robust, ROI, role, roundup, s, safeguarding, sampling, satisfaction, Savings, security, Security and Privacy, security measures, Select, selective, sensitive, sentiments, Series, sets, setting, Share, sharing, shift, should, shutterstock, significance, single, skilled, Social, social media, social media posts, Software, solid, solution, Solutions, SOLVE, some, sources, specific, standardized, statistical, step, store, Strategic, Strategies, Strategy, strict, structured, structured and unstructured data, structuring, successful, Such, summed, supply, supply chain, surveys, Systematic, Systems, tailor, Take, Target, targeted, tasks, techniques, Technologies, text, textual, Than, that, The, The Information, their, Them, then, These, they, this, those, threats, Through, throughout, time, to, Today, together, too, tools, toward, track, traditional, Training, transcription, transparent, Trends, turning, ultimately, unauthorized, Uncertainty, uncover, under, understand, understandable, Understanding, unstructured, unstructured data, up, Updates, use, Used, users, using, usually, utilized, utilizing, validating, valuable, Valuable Information, values, variety, Various, Vast, visual, visualization, Visualizations, Visualize, vital, volume, way, WELL, What, What is, When, where, Which?, while, WHO, wisely, with, within, without, Work, work together, working, zephyrnet... — Zephyrnet, 4d ago

In this episode, Ruth and Peter explore the relationship between humans and machines, how the latter can aid critical thinking and how source evaluation of data can help us understand the outcomes of AI processes. They go on to talk about 'Living with Machines', a five-year research project conducted by the Alan Turing Institute, delving into some of the findings that show humanist approaches are influencing how scientists tackle complex problems. Ruth talks about large-scale data and the shift towards its use in the humanities. They close this final episode, touching on the transferable skills for the workplace that humanities students develop by mastering digital methods and a critical grasp of cutting-edge technologies. — Jisc, 21d ago

Errors in input data uncorrelated to outcomes (e.g. random lens flare in image data) become critical in applications where inaccuracy is only acceptable within tight margins (e.g. self-driving vehicles), and much less so if AI is used as a complementary system that recommends actions to a human decision maker. Further, applications have varying tolerance for type I and type II errors (Shafer and Zhang 2012: 341). Consider the trade-off between freedom of speech and illegal content in content moderation systems. Avoiding type I errors (not removing illegal content) seems preferable to avoiding type II errors (removing lawful content). However, these prediction errors can only be classified if the ground truth is at least approximately known. — CEPR, 12d ago

Latest

alignmentforum.org, 8d ago

AXRP Episode 26 - AI Governance with Elizabeth Seger — AI Alignment Forum

Montreal AI Ethics Institute, 1d ago

new Ethics and Governance of Trustworthy Medical Artificial Intelligence | Montreal AI Ethics Institute

The Singapore Law Gazette, 10d ago

Generative AI - The Singapore Law Gazette

spglobal.com, 5d ago

Machine Learning: The Fundamentals

bbntimes.com, 6d ago

The Future of AI: Generative & Synthetic with Data Privacy & Ethics

eWEEK, 1d ago

new AI Policy and Governance: What You Need to Know

MarTech Series, 4d ago

AI reality vs. myth: Twelve predictions from SAS for 2024

Dynamic Business, 12d ago

How can your SME navigate the ethical challenges inherent in AI adoption?

Latest

new When organizations put appropriate AI governance standards and frameworks in place, training data, algorithms, model infrastructure, and the AI models themselves can be more closely monitored and controlled throughout initial development, training and retraining, deployment, and daily use. This contributes to a more efficient AI operation as well as compliance with relevant data privacy and AI ethics regulations. — eWEEK, 1d ago

new The validation results reveal a remarkable alignment between LLMCarbon’s projections and real-world data for diverse LLMs, surpassing the performance of existing tools like mlco2. LLMCarbon’s adaptability to various data center specifications and its capability to pinpoint optimal parallelism settings enhance overall operational efficiency. This adaptability, combined with its ability to accurately gauge the environmental impact of LLMs, positions LLMCarbon as a pragmatic tool in assessing and mitigating the carbon footprint associated with LLMs, offering an indispensable resource for the future of sustainable AI development. — Montreal AI Ethics Institute, 1d ago

new At the core of this innovation is the ability to capture and process vast amounts of data – a hallmark of AI’s capabilities. The researchers at the University of Copenhagen conducted wine tastings with 256 participants, translating the sensory experience into data points that an AI could understand and learn from. The result is an algorithm that predicts wine preferences with unprecedented accuracy, a significant step towards personalised gastronomy. — IO, 2d ago

new ...1, 10, 100, 25, 41, 80, a, able, accepts, Account, accurately, achieving, across, adaptability, Added, address, addressing, aes, ahead, AI, AI Tools, alert, alerts, All, allows, also, always, an, analyzed, analyzes, and, another, answer, any, app, approach, approaches, approval, approve, approved, ARE, around, AS, ask, asked, assigned, associated, At, Authority, Automated, Automating, available, Away, background, base, based, BE, become, becomes, been, before, being, benchmarks, benefits, better, beyond, biases, Biggest, binary, blend, board, both, Breakdown, Broken, budget, business, businesses, But, by, call, calls, CAN, capabilities, capable, capture, captured, categorized, ceo, challenges, chance, channels, checkpoint, clear, click, Close, closed, closing, closure, closures, commonly, compared, compatibility, competitiveness, completion, confidence, Consistency, constantly, Construct, consuming, contact, continue, conventional, Conversation, conversations, conversions, cornerstone, could, creation, criteria, critical, CRM, customer, customer base, Customer-Centric, Customers, Cycle, data, data extraction, date, day, deal, Deals, decision, Decision Making, dedicated, delves, Demo, Details, develop, devoted, DID, differ, different, directly, discovery, discussed, disrupting, Does, Does it Work, done, During, each, Easily, edit, Effective, efficiency, efficient, efficiently, either, elevating, emails, emerged, emotions, ensured, Ensures, equally, estimates, eventually, executives, existent, existing, experience, exploring, exponentially, extraction, factor, fails, FAST, fast growing, faster, few, Fields, Finally, financially, find, First, First contact, Flexibility, flow, Focus, focusing, For, Force, found, Framework, from, further, fuzzy, gathered, generate, generated, genuine, Get, gets, getting, give, gives, globe, Go, going, good, Growing, guess, had, Have, having, heavily, helps, here, High, Higher, Highlighted, highlighting, How, However, HubSpot, human, identifying, if, Impact, Impacts, implementation, important, in, incomplete, indicates, industry, inefficiencies, influence, influenced, information, innovative, insights, integral, integrate, integrated, integrates, Integrating, integration, integrations, interesting, into, intuition, invest, irrespective, Is, isn, issues, IT, ITS, Job, Key, Labels, landscape, largely, lead, Leaders, leads, left, less, levels, Leverage, Leverage AI, lie, like, likely, limiting, Long, long way, long-standing, lot, Made, make, Makes, Making, manual, manually, mark, marked, Market, May, means, meet, merely, met, methods, metric, Might, missing, more, more efficient, most, Much, Need, needed, needs, new, None, Now, Nuance, observe, obvious., of, often, on, once, ones, only, Operations, opportunities, Option, or, order, organization., Other, Others, our, out, outperformed, Over, part, personal, personalization, phase, phenomenal, Picked, pipeline, place, Platforms, plato, Plato Data Intelligence, PlatoData, possibilities, potential, potentials, power, pre, precision, preventing, prioritize, prioritizes, probability, Problem, Process, processes, Product, Products, projections, promising, prospect, Publishing, purchase, pursuit, qualification, qualify, quality, quicker, ranking, Rates, real, real-time, Realistic, really, recall, relevant, report, Request, Requests, requirement, reshaping, resounding, Results, revenue, review, revolutionized, rich, Right, robust, runs, s, sales, Sales Strategies, salesperson, satisfaction, saved, say, Scalability, Scale, scaling, Score, scoring, seamless, seamlessly, see, Send, sends, sent, serves, Service, set, setup, Share, Shows, significant, since, single, slack, Solutions, some, speed, standardized, standing, start, step, Step-by-Step, Strategic, Strategies, Stronger, structured, Study, successful, Such, Summary, support, surveys, Systems, T, tailor, tailored, takes, task, tasks, Team, Teams, template, Than, that, The, The Cycle, The Landscape, their, Them, then, There, they, this, those, thresholds, till, time, time-consuming, timeframe, timeline, times, to, tool, tools, Tracking, traditional, transcription, transformative, transforming, trying, understand, unique, Unlocking, untapped, up, Upfront, upon, urgency, us, use, Used, using, utility, valuable, value, vs, was, Water, way, we, were, What, What is, When, where, Which?, while, will, winning, wisely, with, without, Work, workflow, workflows, working, would, You, yourself, zephyrnet, zoom... — Zephyrnet, 2d ago

new ...000, 17, 20, 20 years, 25, 40, 80, a, ability, About, accelerate, accelerates, access, accessibility, accessible, accuracy, accurate, accurately, achieve, across, across Industries, ADD, Added, Adding, Additional, additional services, Additionally, Adoption, advanced, ADvantage, advisor, after, Age, AI, AI/ML, All, allow, allows, already, also, Alternatively, Amazon, Amazon S3, Amazon SageMaker, Amazon SageMaker Canvas, Amazon SageMaker Data Wrangler, Amazon Web Services, amount, an, analyses, analysis, Analyze, Analyzing, and, another, Anthropic, any, api, Application, apply, appropriately, Architect, architecture, ARE, around, AS, Assets, At, attractive, authors, automatically, AutoML, availability, avid, avoid, AWS, AWS Command Line Interface, back, bar, based, BATCH, BE, because, becomes, becoming, behalf, benefits, better, between, binary, boosting, borrower, both, brings, Bucket, build, builder, Building, Built, built-in, by, call, calls, CAN, can help, canvas, capabilities, category, certified, charges, chat, choice, choose!, class, classification, Clean, Cleaning, clicks, client, clients, Cloud, cloud data, code, Coding, coding skills, collection, Column, Columns, combines, come, Command, community, company, compared, competencies, competency, Competitive, complete, completed, comprehensive, Conclusion, confidently, configured, configuring, connect, Console, constant, constantly, consulting, contains, contains information, continues, Cost, cost-effective, create, created, credit, CTO, Custom, customer, Customers, Cybersecurity, data, data collection, Data Engineer, Data Exploration, data flow, Data Preparation, data processing, data quality, data scientists, data-driven, dataset, Datasets, Days, deep, default, delete, delivery, deloitte, Deloitte’s, demonstrate, depending, deploy, deployed, deploying, Deployment, deploys, describes, description, destination, Details, develop, Developer, developers, Development, displays, document, doesn, Doesn’t, domain, download, driven, driving, Drop, dropping, Duplicate, duplicates, e, each, easier, Ecosystems, edit, educational, Effective, efficiencies, efficiently, effort, either, employed, enable, enabled, enables, enabling, Encode, encoding, end, end-to-end, Endpoint, engagements, engineer, Engineering, Enhancing, ensure, Enter, Enterprise, enterprise data, entire, entirely, Entrepreneur, entrepreneurship, Environment, essential, example, executive, expected, experience, experienced, expertise, exploration, EXPORT, F1, facing, family, faster, Feature, Feature Engineering, Features, few, few clicks, field, Fields, Finally, financial, financial loans, financial services, First, flow, Focus, focusing, following, For, for example, Forging, Foundation, from, gain, generate, generated, Generating, generative, Generative AI, Global, globe, Go, Goals, grade, Ground, hand, Hard, Have, he, Help, help you, helping, helps, High, Higher, his, history, Home, hot, HOURS, Houston, How, How To, However, identified, if, important, improve, improvement, in, Including, Income, increases, increasingly, incurring, industries, inference, information, information about, informed, input, inputs, insights, instant, integrator, intensive, interactive, interest, interest rate, interface, internal, investment, Is, issues, IT, ITS, Job, journey, just, Kaggle, keeps, language, large, Last, leader, Leadership, leading, leads, learning, Least, leaves, length, like, Line, Lists, little, loaded, Loan, loan amount, loan default, Loans, location, log, Look, low, Low-Code, machine, machine learning, Made, make, Making, manage, medical, Members, Menu, Metrics, minutes, missing, ML, ML Model, ML Models, model, Model building, models, modernization, months, more, most, Much, multiple, Name, Natural, Natural Language, Navigation, necessary, Need, needed, needing, never, new, New Technology, Next, next step, no, no-code, Now, number, of, Offerings, Offers, often, on, ONE, only, open, Operations, Option, or, Other, our, out, outliers, output, outside, Over, overview, Own, Ownership, pane, participation, particular, partner, partners, partnerships, passionate, percentage, perform, performance, performant, person, personal, phase, phases, pick, pipelines, platform, plato, Plato Data Intelligence, PlatoData, Plenty, Plus, post, potential, power, Powered, practice, practitioners, precision, predict, predicting, prediction, Predictions, Predictive, Predictive Analysis, Preparation, prepare, Prerequisites, presented, previous, price, Principal, Process, processing, produces, Production, productivity, Program, Programmers, Programming, programming skills, Progress, project, projects, prompts, proper, provide, provide additional, provides, public, Python, quality, queries, query, quick, quickly, raise, rapid, rapidly, rate, Raw, raw data, RE, ready, real, real-time, reason, reasons, recently, recommended, reduce, Reduce time, Reduces, refer, registering, registry, remediation, remove, Rent, report, represents, Request, require, required, requires, resilient, return, return on investment, review, Risk, ROW, Rows, Run, s, SageMaker, sales, sample, says, Scalable, Scale, scientists, Score, Screenshot, sdk, Select, Senior, serial, Service, Services, services company, set, Set Up, setting, settings, shortened, should, show, showing, shown, Shows, Sign, significant, Simple, simplifies, simplify, single, single platform, skew, skillfully, skills, smaller, snippet, So, solution, Solutions, some, soon, source, specialized, specific, specify, speed, Spending, spends, spent, SQL, stakeholders, standard, start, starting, startup, Status, step, steps, storage, store, Strategic, Strategies, String, strong, Such, Suite, Supporting, sure, Switch, Systems, T, tab, table, Take, take advantage, takes, Target, Team, team members, tech, tech entrepreneur, Technology, test, Testing, that, that’s, The, their, Them, then, These, These Benefits, they, this, thought, thought leadership, thrives, Through, time, timelines, to, Today, today’s, took, tool, tools, top, Total, total amount, Trained, transaction, Transform, Transformation, transformations, transformative, trusted, tuning, two, TX, type, typically, Understanding, unlocked, up, uploaded, use, Used, users, uses, using, usually, utilizes, values, Various, verify, very, visual, was, we, web, web services, weeks, WELL, When, where, whether, Which?, while, WHO, Why, will, with, without, Work, workflow, workflows, workloads, Workspace, world, write, writing, years, You, Your, zephyrnet... — Zephyrnet, 2d ago

new The rise of connected vehicles is one of the most visible signs of the automotive industry’s embrace of data and AI. Modern cars have evolved into sophisticated data hubs, equipped with IoT sensors that gather information on everything from engine performance to driver behavior. This data is then transmitted to the cloud for analysis and can be used for various purposes, such as predictive maintenance, improved fuel efficiency, and enhanced safety. — Zephyrnet, 2d ago

Top

What does this mean in practice? It means that cyber security and disinformation, which are already prominent and incredibly challenging features of modern war, will become even more of a problem in conditions of intensive automation. Adversaries have incentives to manipulate or poison the data that feeds AI systems.78 AI will thus expand the range of counterintelligence risks to worry about. It also means that adversaries have incentives to move conflict in unexpected directions, i.e., where AI systems have not been trained and will likely perform in undesired or suboptimal ways. This creates not only data problems but judgment problems as well. Combatants will have to reconsider what they want in challenging new situations. As intelligent adversaries escalate conflict into new regions, attack new classes of targets, or begin harming civilians in new ways, how should AI targeting guidance change, and when should AI systems be withheld altogether? We should expect adversaries facing AI-enabled forces to shift political conflicts into ever more controversial and ethically fraught dimensions. — Texas National Security Review, 26d ago

Distributed Intelligence, on the other hand, represents the analytical prowess of AI systems that excel in processing vast amounts of information, identifying patterns across multiple data sets, and providing consistent, objective analysis. It extends human capability by handling tasks that are too cumbersome or complex for the human brain, offering scalability and efficiency in problem-solving. This pole is crucial for making sense of big data, enabling predictive analytics, and supporting decision-making processes that benefit from a lack of emotional bias and the ability to synthesize diverse perspectives into coherent patterns. — Integral Life, 27d ago

A recent McKinsey report, led by auhtors Joe Caserta and Kayvaun Rowshankish, points out there is unrelenting pressure to "do something with generative AI". The report authors suggest IT and data managers "will need to develop a clear view of the data implications of generative AI." Perhaps most challenging "is generative AI's ability to work with unstructured data, such as chats, videos, and code," according to Caserta and his team. "Data organizations have traditionally had capabilities to work with only structured data, such as data in tables." This shift in data concerns means organizations need to rethink the overall data architecture supporting generative AI initiatives. "While this might sound like old news, the cracks in the system a business could get away with before will become big problems with generative AI. — continuingedupdate.blogspot.com, 4d ago

CEPR, 12d ago

The global AI regulation race: Why the EU should focus on data quality and liability rules

Texas National Security Review, 26d ago

War Is from Mars, AI Is from Venus: Rediscovering the Institutional Context of Military Automation - Texas National Security Review

Commercial Integrator, 12d ago

AV Brains & Brawn: AI Types and Inner Workings

Fast Company, 17d ago

The 5 soft skills needed to succeed in an AI-dominated workplace

Partnership on AI, 19d ago

AI Adoption for Newsrooms: A 10-Step Guide - Partnership on AI

Latest

With respect to implementing gen AI-powered solutions such as the one demonstrated, Bamberger advised companies to experiment and run prototypes and proofs of concept to see if the expense is generating the desired return. “Often the underlying knowledge and data used to resolve a customer's issue and questions is outdated and not well maintained,” Bamberger said. “It is important to start with a small set of products or issues to make sure you have high quality responses that can be leveraged with customers.”... — No Jitter, 3d ago

...“Prosecutions and civil litigation stemming from fraud and other financial malfeasance are among the most complex cases in our justice system,” said Chris McCall, CEO and co-founder of Valid8 Financial. “Forensic accountants and attorneys require certainty in their investigations, which is why it may take months or even years to uncover the truth behind thousands or millions of financial transactions. Valid8’s unique approach to delivering Verified Financial Intelligence leverages AI to expedite the process while meeting the highest data quality standards for courtroom-ready evidence that expert witnesses can rely on.”... — GlobalFinTechSeries, 3d ago

...“Expectations might be sky-high but procurement leaders must accept Gen AI solutions are like any other tool; they are only as good as the person using them and the quality of data fed to them. — procurementmag.com, 3d ago

In recent years, Geospatial Data Science – the use of geographic knowledge and AI approaches to extract meaningful insights from large-scale geographic data – has achieved remarkable success in spatial knowledge discovery and reasoning, and geographic phenomena modeling. However, two challenges remain in geospatial data science: (1) geographic phenomena are always treated as functions of a set of physical settings, but human experience has received insufficient attention; (2) there are limited strategies to focus on and address geoethical issues. In this talk, Dr. Kang will present a series of works that utilized geospatial data science to understand human experience and sense of place. In particular, using large-scale street view images, social media data, human mobility data, and advanced GeoAI approaches, he measured and analyzed human subjective safety perceptions (e.g., whether a neighborhood is perceived as a safe place), and emotions (e.g., happiness) at places, as well as human-environment relationships. Also, his work paid attention on geoethical issues such as monitoring perception bias and model bias and protecting geoprivacy. — nyu.edu, 3d ago

For the study, the team used an existing dataset comprising tens of thousands of natural images, with corresponding fMRI responses from human subjects, to train an AI-type system called an artificial neural network (ANN) to model the human brain's visual processing system.They then used this model to predict which images, across the dataset, should maximally activate several targeted vision areas of the brain. They also coupled the model with an AI-based image generator to generate synthetic images to accomplish the same task."Our general idea here has been to map and model the visual system in a systematic, unbiased way, in principle even using images that a person normally wouldn't encounter," Kuceyeski said.The researchers enrolled six volunteers and recorded their fMRI responses to these images, focusing on the responses in several visual processing areas.The results showed that, for both the natural images and the synthetic images, the predicted maximal activator images, on average across the subjects, did activate the targeted brain regions significantly more than a set of images that were selected or generated to be only average activators. — Business Insider, 3d ago

AI-powered surveillance systems are gradually becoming common and with this most of us have started to worry with respect to privacy and safety. For example, in China, they use facial recognition technology to watch people closely while in the United States the police use algorithms to predict where crimes might happen. These technologies could violate the personal freedoms of people and make inequalities in society even worse. In simple words, they might invade our privacy and make the gaps between different groups of people even bigger. — Techiexpert.com, 3d ago

Latest

TechRadar, 4d ago

Demystifying the AI regulatory landscape

CoinGenius, 4d ago

Operationalize LLM Evaluation At Scale Using Amazon SageMaker Clarify And MLOps Services | Amazon Web Services - Plato Data Intelligence

electronicspecifier.com, 4d ago

Gartner report AI must be a top priority for CIOs

Zephyrnet, 4d ago

Unlocking The Value Of Data As Your Differentiator | Amazon Web Services - Plato Data Intelligence

COPE: Committee on Publication Ethics, 18d ago

Where next in peer review? Part 2: COPE commentary

Stimson Center, 14d ago

Artificial Intelligence and Synthetic Biology Are Not Harbingers of Doom • Stimson Center

Security Boulevard, 24d ago

Deepfake Nudes - Can I Sue?

McKinsey & Company, 19d ago

Gen AI: A guide for CFOs

Top

Unlike conventional systems, in which data is centralised and exploited in a limited number of powerful servers, edge computing offers data storage and processing that is as close as possible to where the intelligence was produced, thereby reducing the circulation of large masses of information. While these connected objects are much less powerful than data centres, they are most importantly less costly and less energy-intensive. They of course cannot be used to train complex AI models, but they can run algorithms that are already operational. — CNRS News, 5d ago

...“It’s really important that we all stay aware of what the technology can do, because if we know what it can do, we’re more likely to be able to see past some of the stuff that’s being put out there,” she said. “If you’re not aware of deepfakes and you don’t know anything about it, then you’re not going to be able to say ‘hey, I wonder if that’s a deepfake.’ If you’re not aware of what image generators can do, then you’re not even going to question different media that you [find].”Thompson was also optimistic at the passage of A.B. 783 in October, which will establish media literacy curricula for K-12 in California, although its requirements will not be realized for some time.On the computer science side of GenAI, VCOE’s Director Technology Infrastructure Stephen Meier said part of demystifying the technology is understanding it as a tool, not an agent.“We have this idea that because we’ve abstracted the person out of the machine, that the machine, the AI, is now infallible. But we have to remember the machine was created by fallible creatures, and we can’t take the fallibility out of the machine,” he said. “The other part that goes along with that is, you have OpenAI, who is arguably driving the AI conversation … is now controlled by six people, or potentially now four people. That is something that really concerns me, as AI becomes pedagogical, wrapped up in what we’re teaching our students.”Meier said another risk with GenAI lies in the data it was trained on. He made an analogy with the MOVEit hack earlier this year, in which a foreign actor essentially poisoned a software company’s product and infected that company’s clients around the world by extension.“They’re already doing that today with data set poisoning,” he said. “If you find one of these AI companies that have these large training models, if you get a bad actor in there who poisons that data, you’re now getting bad results.”Looming questions aside, the panelists were broadly optimistic that the challenges of AI will be solved. Reina Bejerano, chief technology officer at Oxnard Union High School District, said parents seem to be receiving the evolution of AI fairly well. She likened it to social media — they don’t really know what Snapchat or TikTok are, but they know their kids use them, and they’re generally curious to learn more. She said her district had some success hosting parent nights with dinner and conversations about these emerging apps and tools.Bejerano cited Khanmigo, a custom tool that can adjust its answers to prompts if a student doesn’t understand them, as an example of one that already seems to be having a positive impact.“It really is giving students autonomy, it’s giving them that freedom to learn in their own way, and it’s allowing them to be vulnerable,” she said. “In my opinion, I’m seeing more engagement, and higher engagement, than I’ve seen before because students have this autonomy and they’re able to feel vulnerable, and then they end up learning more.”... — GovTech, 5d ago

Still in development, the nanowire network is expected to require far less power than silicon-based artificial intelligence systems to perform similar tasks. The network also shows promise at tasks that current AI struggles to accomplish: making sense of complex data, such as patterns in weather, traffic and other systems that change over time. To do so, today’s AI requires tremendous amounts of training data and extremely high energy expenditures. — Neuroscience News, 19d ago

Another significant cybersecurity risk associated with AI is bias and discrimination. If AI models are trained on biased data, they can perpetuate and amplify existing biases, leading to unfair or discriminatory outcomes. To mitigate this risk, it is crucial to implement bias detection and mitigation strategies. Auditing AI models for bias, and implementing unbiased algorithms will help ensure fair decision-making. Collaborating with experts in ethics and diversity can also provide valuable perspectives on identifying and mitigating biases within AI systems. — Cyber Defense Magazine, 27d ago

Digital transformation has evolved from the simplistic notion of creating an electronic presence to rethinking an organization’s business processes and accomplishing this reinvention at scale. In 2024, digital transformation means rethinking processes from the perspective of our customers. Central to this shift is a deep, empathetic understanding of customer needs, interwoven with digital insights from their interactions with our brand. This approach integrates digital transformation seamlessly into the customer experience journey. Viewed this way, digital transformation is a natural extension of customer experience. In 2024, the challenge is linking human-centric approaches to the power of data. Ignoring this element will yield unsatisfactory results that do not reflect customer needs or foster consumer loyalty. Many companies may fall into the trap of investing heavily in AI tools, mistakenly equating them with modernization. While AI can enhance efficiency, its true potential is unlocked only when paired with relevant data and a profound customer understanding. Successful digital transformation in 2024 rests on a blend of data-driven strategies and a genuine, human-centric approach to customer engagement. Companies aiming for transformational success must refine their data analysis capabilities while deeply empathizing with their customers. This dual focus will be the cornerstone of thriving in the digital landscape of 2024. — Thinkers360 | World’s First Open Platform For Thought Leaders, 16d ago

With technological advancements, financial lenders can now lower their risk by utilizing a variety of client data. Relevant data is analyzed and distilled into a single value known as a credit score that represents the lending risk using statistical and machine learning. A lender might be more confident in a customer’s creditworthiness the higher their credit score. Credit scoring, a type of AI technology based on predictive modelling, estimates the probability that a customer will miss a transaction, become overdue, or be insolvent. The time it takes to assess a company’s financial situation is reduced by automated credit decision-making systems made possible by data-driven AI technologies. Examining a larger number of data points for a shorter period of time and producing quicker credit scores, enables closer monitoring of its actions and creditworthiness. — nasscom | The Official Community of Indian IT Industry, 17d ago

Latest

...1, 35, 8, a, accelerate, accessed, accessing, accuracy, accurately, achieve, Act, advanced, ADvantage, AI, AI/ML, All, allows, already, also, amp, an, analytical, analytics, analytics tools, Analyzing, and, another, answer, anticipate, approach, ARE, around, Artificial, artificial intelligence, AS, At, automate, Automated, automatically, Automating, avoid, base, based, BE, because, becomes, been, before, being, benefit, better, between, BIG, Boost, both, brings, budgets, business, business processes, businesses, But, by, C-suite, CAN, can help, Catch, chatbots, Cloud, cloud data, cloud infrastructure, Cloud Solutions, cloud-based, collected, Collecting, Commerce, Companies, compared, Competitive, connect, considerable, consuming, continuously, Cost, Costly, Costs, could, create, Creating, critical, crucial, curated, customer, customer base, customer expectations, customer experience, Customer Retention, Customer Service, Customers, data, Data Analytics, Data Ingestion, data lakes, data monitoring, data strategy, data warehouses, data-driven, data-driven business, data-driven insights, DATAVERSITY, day, Day-to-day, Days, decision, decisions, Define, deliver, deliver personalized, deploying, designed, difference, difficult, Digit, directors, document, document processing, documents, done, double, Drive, driven, Drivers, e, e-commerce, efficiencies, efforts, ELEVATE, enable, enables, end, engagement, enhance, enormous, entirely, error, essentially, Even, ever, Everything, evolve, evolving, example, exciting, Exclusive, executives, existing, Expand, expectations, expensive, experience, Experiences, experiencing, expertise, external, external data, extract, Extracting, Extracts, fact, FAQs, few, find, finding, fluctuating, foot, foot traffic, For, for example, forecast, formats, Forrester, found, four, fraud, Free, from, fully, generate, generated, Generating, Get, getting, Getting Started, Growth, had, half, harness, Have, Help, hidden, High, Highlight, How, How To, huge, i, identify, immensely, important, importantly, improve, improvements, in, Increase, Increasing, inefficient, inform, information, informed, Infrastructure, ingestion, insights, Instead, integrated, Intelligence, Intelligent, Intelligent document processing, interact, interface, into, inventory, involve, Is, IT, ITS, journeys, just, Key, know, lakes, large, larger, learning, LeT, Leverage, leveraging, likely, little, longer, Look, Lower, machine, machine learning, maintains, maintenance, make, Making, manage, managing, manually, many, Market, Market Trends, Marketing, massive, mature, Maximize, maximizing, May, means, measurable, medium, medium-sized, meet, Metrics, Might, migrating, minutes, ML, monetize, monetize data, money, monitoring, months, more, most, nascent, Need, needs, new, new customers, no, number, of, offer, often, on, only, onramp, Operational, Operations, opportunities, Opportunity, optimized, or, organization., organizations, Others, out, Over, Own, packaging, particularly, past, performance, personalization, personalized, Plan, plato, Plato Data Intelligence, PlatoData, possible, power, Powered, predict, Predictions, Predictive, predictive analytics, Predictive Maintenance, preventing, previously, Process, processes, processing, Product, Products, Products and Services, profitably, protection, provide, provider, Providers, quality, quickly, rapidly, reach, real, Recent, recently, recommendations, recruiting, reduce, reduce costs, reducing, research, Resources, respondents, responsive, restricting, retaining, Retention, revenue, Right, ROI, Run, s, sales, saves, Scalability, Scale, seconds, segment, Segmentation, Selling, Service, Services, set, setting, shift, should, Simply, site, sits, sitting, sized, sizes, small, smb, SMBs, So, Solutions, some, speak, speeds, stack, Staffing, started, stock, storage, storing, Strategies, Strategy, streams, struggle, success, successes, Such, Suite, Supports, surge, Survey, surveyed, Take, Take a look, tangible, Target, task, tasks, Technologies, Than, that, that’s, The, The ROI, their, Their Data, Them, There, there’s, These, they, this, Through, time, time-consuming, times, to, tools, traffic, Transform, transforming, Trends, trouble, types, ultimately, unaware, uncover, understand, Understanding, unique, up, usage, use, User, using, valuable, value, Various, visual, volumes, VPS, want, warehouses, ways, we, WELL, were, What, what's, When, where, Which?, while, with, without, Work, Workforce, year, years, Yet, zephyrnet... — Zephyrnet, 3d ago

In a time stuffed with deep fakes and false data, belief is essential for accepting and checking the reality of created content material. Blockchain know-how retains a transparent, unchangeable file each time content material is created. In a world more and more inundated with misinformation, TrustChain goals to revolutionize data integrity. Leveraging the facility of blockchain and generative AI, TrustChain has sought to create a safe and clear platform for verifying and authenticating digital content material. This enables customers to test the validity and origin of generative AI outputs. By connecting the generated content material to the blockchain, customers can ensure that the content material they cope with is correct which ends up in extra belief and fewer manipulation. — BlaQue Crypto News, 3d ago

The development of commercial mixed reality platforms and the quick advancement of 3D graphics technology have made the creation of high-quality 3D scenes one of the main challenges in computer vision. This calls for the capacity to convert any input text, RGB, and RGBD pictures, for example, into a variety of realistic and varied 3D scenarios. Although attempts have been made to construct 3D objects and sceneries directly using the diffusion model in voxel, point cloud, and implicit neural representation, the results have shown limited diversity and quality due to the restrictions in training data based on 3D scans. Using a pre-trained picture-generating diffusion model, like Stable Diffusion, to generate a variety of excellent 3D sceneries is one approach to address the problem. With data-driven knowledge gained from the massive training set, such a huge model produces believable images but cannot ensure multi-view consistency among the images it generates. — MarkTechPost, 3d ago

DATAQUEST, 5d ago

Revolutionizing Travel and Hospitality: The Unprecedented Impact of Artificial Intelligence

assemblymag.com, 5d ago

AI Augments Machine Vision

spglobal.com, 5d ago

Foundation Models Powering Generative AI: The Fundamentals

lesswrong.com, 21d ago

Helpful examples to get a sense of modern automated manipulation — LessWrong

The Scholarly Kitchen, 6d ago

The United States Copyright Office Notice of Inquiring on AI: A Quick Take - The Scholarly Kitchen

Latest

Just like technology, policies can quickly become outdated. They must be revised, replaced, or even removed. Although this isn’t the most exciting area of CISO work, creating clear policies that are proactive and empowering, not restrictive, can ensure employees gain the benefits of new technology without the risk. For example, generative AI (GenAI) can offer enormous benefits for a company — improved productivity, efficiency, and creativity. But without appropriate guardrails to govern how the technology is used and what data (or code) can be input into GenAI models, a company could be at extreme risk for compromise. Creating a formal policy with input from stakeholders throughout the company enables employee use of the technology while reducing risk. — securitymagazine.com, 3d ago

The opaqueness in the decision-making process of LLMs like GPT-3 or BERT can lead to undetected biases and errors. In fields like healthcare or criminal justice, where decisions have far-reaching consequences, the inability to audit LLMs for ethical and logical soundness is a major concern. For example, a medical diagnosis LLM relying on outdated or biased data can make harmful recommendations. Similarly, LLMs in hiring processes may inadvertently perpetuate gender bi ases. The black box nature thus not only conceals flaws but can potentially amplify them, necessitating a proactive approach to enhance transparency. — unite.ai, 3d ago

Generative AI can offer useful tools across the recruiting process, as long as organizations are careful to make sure bias hasn’t been baked into the technology they’re using. For instance, there are models that screen candidates for certain qualifications at the beginning of the hiring process. As well-intentioned as these models might be, they can discriminate against candidates from minoritized groups if the underlying data the models have been trained on isn’t representative enough. As concern about bias in AI gains wider attention, new platforms are being designed specifically to be more inclusive. Chandra Montgomery, my Lindauer colleague and a leader in advancing equity in talent management, advises clients on tools and resources that can help mitigate bias in technology. One example is Latimer, a large language model trained on data reflective of the experiences of people of color. It’s important to note that, in May, the Equal Employment Opportunity Commission declared that employers can be held liable if their use of AI results in the violation of non-discrimination laws – such as Title VII of the 1964 Civil Rights Act. When considering AI vendors for parts of their recruiting or hiring process, organizations must look carefully at every aspect of the design of the technology. For example, ask for information about where the vendor sourced the data to build and train the program and who beta tested the tool’s performance. Then, try to audit for unintended consequences or side effects to determine whether the tool may be screening out some individuals you want to be sure are screened in. — Hunt Scanlon Media, 3d ago

The field of AI, including Deep learning, completely relies on data, and important data is stored in data warehouses, where it is dispersed among multiple tables linked via primary-foreign key relationships. Developing ML models with such data presents a number of difficulties and takes a lot of time and work, as the existing ML approaches are not well suited to learning directly from data that spans several relational tables. Current methods require that data be transformed into a single table via a procedure called feature engineering. — MarkTechPost, 3d ago

After the computers, the next step was to create workflows that could train AI models using the data the computers collected from the machines. NVIDIA developed powerful platforms to do just that. These platforms enable users to simulate how a robot will behave. For example, an autonomous sprayer has sensors that collect image data on the crop and weeds. The data then needs to be fed into an AI algorithm to determine – almost instantaneously –whether it is looking at a weed it needs to spray or a crop that needs to be left alone. If it is a weed, the machine needs to know where to find it before adjusting the nozzle and delivering a targeted herbicide application. The workflows ensure the sprayer operates as intended. — precisionfarmingdealer.com, 3d ago

A cross-industry approach to data provenance was released. The Data and Trust Alliance published the result of a convening of 19 enterprises that created standards "to help organizations determine if data is suitable and trusted for use," in both the AI and traditional dataset context. — iapp.org, 3d ago

Top

MarTech Series, 27d ago

Biden's Latest AI Safety Protocol and Standards

Amazon Science, 17d ago

Responsible AI in the wild: Lessons learned at AWS

The Thomas B. Fordham Institute, 21d ago

Accountability will be the bedrock of AI in education

theHRDIRECTOR, 16d ago

How generative AI is changing the L&D landscape | theHRD

McKinsey & Company, 20d ago

Generative AI can change real estate, but the industry must change to reap the benefits

The ChannelPro Network, 17d ago

11 Common Ethical Issues in Artificial Intelligence

Centre for International Governance Innovation, 24d ago

Proposed Changes to Canada’s Bill C-27 Do Little to Mitigate AI Harms

bbntimes.com, 27d ago

The Democratization of Artificial Intelligence

Latest

The study by Miller et al. has far-reaching implications beyond technology and psychology and into the real world. The fact that there are still racial biases in AI-generated faces underscores the need for more diverse training data in the development of AI. If AI is trained on human data and human data is biased, then of course AI will be biased. The problem, though, is that by reflecting existing inequalities, AI risks exacerbating them if left unaddressed. In fields heavily reliant on AI, such as facial recognition for security purposes, it matters that white faces are differentially recognized compared to other racial groups. — Freethink, 3d ago

SAS Chief Technology Officer Bryan Harris said: “Generative AI technology does a lot of things, but it can’t do everything. In 2024, organizations will pivot from viewing generative AI as a stand-alone technology to integrating it as a complement to industry-specific AI strategies. In banking, simulated data for stress testing and scenario analysis will help predict risks and prevent losses. In health care, that means the generation of individualized treatment plans. In manufacturing, generative AI can simulate production to identify improvements in quality, reliability, maintenance, energy efficiency and yield.”... — Datanami, 3d ago

In addition, AI can be used to build better models, and to speed up simulators by leveraging more artificial neural networks. “There are physics-based analytical models, but you’ve got to take lots of measured data in order to get there,” said Slater. “What if you could use AI heuristic networks to create a model that’s just as good at curve-fitting, but crucially, doesn’t need as much input data, and can execute much faster because the model is based on neural nets, not complex netlists?”... — Semiconductor Engineering, 4d ago

However, data is the fuel of Artificial Intelligence. AI needs vast amounts of data in order to start generating usable insights. Large Language Models (LLM) are a subset of AI where the algorithm is designed to learn from tremendous amounts of diverse data to generate new multimodal content including text, image, audio, video, code, and 3D—hence generative AI. Without the algorithm, big data is just noise. And without data, the algorithm is irrelevant. — Datanami, 4d ago

Because this may involve sensitive customer data, you’re choosing to isolate this workload from other models and host it on a single-model endpoint, which can make it challenging to scale because you have to spin up and manage separate endpoints for each FM. The generative AI application you’re using the model with is being used by service agents in real time, so latency and throughput are a priority, hence the need to use larger instance types, such as a P4De. In this situation, the cost may have to be higher because the priority is isolation, latency, and throughput. — CoinGenius, 3d ago

Regulators need to implement guidelines that help standardize the language around AI, which will help with understanding the model being used, and ultimately regulate risk parameters for these models. Otherwise, its potential to take the exact same data set, and draw wildly different conclusions based upon its biases—conscious or unconscious—that are ingrained from the outset. More importantly, without a clear understanding of the model, a business cannot determine if outputs from the platform fit within its own risk and ethics criteria. — TechRadar, 4d ago

Latest

That’s where the good news comes in. The security rewards of AI are immense. For example, in our email protection suite, Barracuda AI uses the metadata from internal, external, and historical emails to create an identity graph for each Office 365 user that defines the unique communication patterns of an individual. These machine-learned models allow Barracuda to identify behavioral, content, and link-forwarding anomalies in your company’s email communications to protect against spear phishing, business email compromise, lateral phishing and other targeted threats. — CXOToday.com, 4d ago

AI tools are particularly valuable when a large amount of clean data is available and where connections and correlations between those data sets can be mapped relatively easily. With this in mind, in the Biomaterials space where Modern Meadow operates, AI tools will be helpful in many ways. First, supporting consumers when navigating overwhelming amounts of information on product and material. AI tools will allow them to easily find the most sustainable options while avoiding being swayed by fake news. — Fast Company, 4d ago

By default, the winners of the AI revolution will be those who are already ahead: big tech companies that have access to data and can afford computing power; employers that monitor and automate their employees’ jobs; governments that set the rules they play by; and those who are already privileged and hold power. AI, as it is currently pursued, is set to primarily enhance the lives and work of Western knowledge workers and the digital elite off the back of data-labelling sweatshops and exploited creators. — Centre for International Governance Innovation, 4d ago

SiliconANGLE, 6d ago

Cross-government cybersecurity best practices announced for safer AI development - SiliconANGLE

earley.com, 7d ago

AI’s Value for Product Data Programs

No Jitter, 3d ago

Using Generative AI to Improve Customer Experience

Techiexpert.com, 3d ago

Why is AI Dangerous and What are the Dangers of AI?

unite.ai, 3d ago

https://www.unite.ai/the-black-box-problem-in-llms-challenges-and-emerging-solutions/

Top

...77, a, About, accept, accuracy, achieve, acquisition, across, Additionally, administrative, Adopt, advance, advances, affects, AI, AI applications, AI in recruitment, AI models, AI systems, AI-Powered, Aid, algorithms, All, all-in-one, Allowing, also, amounts, an, analytics, Analyze, Analyzing, and, answer, applicant, Application, applications, applied, approach, ARE, areas, article, articles, Artificial, artificial intelligence, AS, aspects, aspirations, assess, Assessments, Assistant, assistants, assists, At, attraction, audit, augmented, automate, Automated, Automation, based, BE, been, Behind’, being, believe, benefits, better, Better results, bias, biased, biases, boards, both, Building, business, Business Leaders, businesses, But, by, CAN, can help, candidate, candidates, capabilities, Career, cases, catalyzing, chatbots, Chatbots and Virtual Assistants, closing, Coaching, combined, Common, Communications, Companies, Compensation, Competitive, completely, complexity, comply, concerned, concerns, Confidentiality, Considerations, consuming, content, ConTeXt, contextual, continuous, contracts, contribute, Core, corporate, correct, Cost, cost-effectively, Costs, craft, create, criteria, CRM, crucial, Culture, Current, customized, data, data privacy, Data Privacy and Security, data protection, data storage, data-driven, databases, date, decision, decisions, deeper, delve, Demand, demonstrated, deployed, depth, descriptions, Design, developing, Development, discover, diverse, Diversity, Diversity and Inclusion, documents, doing, don, don't, driven, educate, educational, educational content, Effective, effectively, effectiveness, efficiency, efficient, eliminating, emails, employed, employee, Employee Engagement, employee experience, Employee onboarding, employee retention, employees, empower, empowers, enable, enabling, engagement, engaging, enhances, Enhancing, Enjoy, ensure, ensuring, entire, especially, ethical, ethics, evaluation, everyone, example, Examples, excitement, expect, expectations, expensive, experience, Experiences, Explainability, facilitates, factors, Fairness, Fall, faster, feedback, field, First, Focus, For, for example, For You, forecast, Foundation, from, functions, Furthermore, future, future leaders, gap, gaps, gauge, generated, generative, Generative AI, given, Goals, gpt, Growth, guide, Harnessing, Have, Help, helps, here, High, high-performing, highest, hire, hirevue, Hiring, historical, historical data, How, However, hr, human, Human Resources, Hype, ideally, identify, identifying, if, Impact, implement, implementation, important, improvement, improving, in, In Mind, in-depth, inclusion, inclusive, Increase, individual, information, Innovation, inquiries, insights, Integrating, integration, Intelligence, interact, internal, internally, Interview, interviewing, Interviews, into, Introduction, Is, IT, ITS, Job, Jobs, keep, keeping, Key, know, language, large, large language models, lead, Leaders, Leadership, leading, learning, leaving, Legal, LeT, Level, levels, Lifecycle, like, likely, List, ll, Lower, lower costs, machine, machine learning, mailing, major, Making, management, managers, managing, Market, Market Data, Market Trends, matches, material, measures, Media, messages, methods, Metrics, mind, mitigate, models, more, more efficient, most, most common, must, Natural, Natural Language, natural language processing, needs, new, Next, next year, NLP, notoriously, Now, nurturing, of, Offers, on, Onboarding, ONE, only, Operations, optimize, optimized, or, organization., Organizational, organizations, Other, our, outbound, outcomes, outside, Over, over time, pace, packages, Paperwork, paradigm, paths, patterns, Pay, performance, performance metrics, performing, perpetuate, personalize, personalized, personalized learning, Pioneering, Plan, planning, plans, platform, Platforms, plato, Plato Data Intelligence, PlatoData, poised, Posts, potential, power, Powered, practices, predetermined, Predictive, predictive analytics, preferences, primary, privacy, Privacy and Security, proactive, probability, Process, processes, processing, productivity, professionals, Programs, promoting, promotions, protection, provide, providing, purpose, qualified, questions, rapid, real, real-time, Recent, recruiting, recruitment, Redefine, reduce, regulations, RELATED, release, relevant, Requests, require, Resistance, Resources, responses, responsibly, Results, retain, Retention, Revolutionize, Risk, role, roles, s, satisfaction, Scale, Scheduling, Screen, screening, Search, Secure, security, Semantic, several, shift, should, Sign, Sign up, significant, significantly, skill, skill development, skills, skills gap, smooth, So, Social, social media, solution, Solutions, some, sources, sourcing, stay, storage, Strategic, Streamlining, strides, structure, subscribe, success, successful, succession, Such, Summary, Supporting, surrounding, surveys, Systems, T, tailor, Take, Talent, Talent Management, targeted, tasks, Teams, Technologies, Technology, Templates, Textio, that, The, their, There, thereby, These, they, things, this, Through, throughout, time, time-consuming, timely, to, tools, top, toward, towards, Tracking, Training, training data, Transform, transforming, Transparency, Trends, two, understand, Understanding, unfair, up, up-to-date, Updates, upskilling, use, Use Cases Of AI, Used, useful, using, Utilization, valuable, Various, Vast, Video, Virtual, virtual assistants, way, we, When, where, while, will, with, within, workday, Workforce, Workplace, writing, year, You, zephyrnet... — Zephyrnet, 19d ago

...000, 1, 17, 8, a, About, above, accessible, accompanying, Account, across, Act, Action, actions, actively, ADD, Adding, Additional, address, addresses, Adds, after, against, AI, AI Act, ai development, AI model, AI models, AI systems, alerts, All, allows, almost, also, among, amp, an, and, announce, anomalies, answer, answering, answers, anticipated, anticipating, antivirus, any, api, appealing, approach, ARE, article, Artifacts, AS, asked, asks, At, audience, Audits, augmented, automate, Automated, automatic, automatically, Automation, avid, aware, based, BE, become, becoming, been, before, begin, Below, Benchmark, BEST, beta, better, between, beyond, Blending, body, bomb, Bot, broad, build, business, But, by, CAN, Can Get, card, case, cases, Catalog, categories, causing, CD, CEN, certifications, chained, challenge, challenges, change, check, Checks, Choices, CI, CI/CD, CI/CD pipelines, clear, climate, Climate change, CO, code, Coding, collaboration, Collaborative, Collecting, collection, COM, combine, combining, come, community, Community Driven, Compare, complex, complexity, compliance, component, components, comprehensive, concerns, consistent, consists, Construct, constructing, consulting, content, ConTeXt, control, conundrum, correct, could, coverage, create, created, Creating, creation, criteria, critical, crucial, Culmination, customize, Daily, Dashboards, data, data exposure, Data Science, data scientist, data scientists, debug, debugging, decline, dedicated, delve, demands, Demo, demonstrates, depending, Deployment, Design, designed, detect, detected, determine, developed, Development, DevOps, diagnosis, dictated, different, dimensions, directly, discussions, distilled, diverse, diverse perspectives, documentation, doesn, domain, don, don't, dozens, draws, driven, Dual, During, each, Early, Easily, Edge, Effective, effectively, effortlessly, embedded, embody, emerge, emergence, emphasize, enable, enables, encompasses, encompassing, Engineering, enrich, ensure, ensuring, entire, Environment, Era, error, ETC, ethics, EU, EU AI Act, European, Evaluate, evaluation, Even, Event, Every, Evidence, exact, examine, example, Examples, execute, Executing, Execution, exist, existing, experience, Experimental, experimenting, experiments, Explain, Explainability, explained, explanations, explicitly, explore, exponentially, exposure, external, Face, Failed, failures, Feature, Features, feedback, Finally, find, First, fixtures, following, For, for example, for humans, For You, foresee, formats, formidable, Foundation, Framework, Free, free trial, from, Fulfill, fulfills, full, fully, further, future, generate, generated, generates, generation., Get, getting, Getting Started, GitHub, Global, Go, GOES, good, good quality, grown, guidance, guide, guidelines, guiding, happens, harm, hate, Have, Help, Hence, here, highly, hinges, hosted, How, How To, HTTPS, hub, Hugging Face, HuggingFace, human, Humans, hundred, Hundreds, ideal, Ideas, identified, identifies, identifying, if, Illustrated, implement, Import, impose, in, include, includes, Including, incorporate, Increase, increased, Increasing, indexes, indicators, indispensable, industry, infinite, informed, initial, Initiates, Initiative, INJECTION, input, inputs, inside, instance, integrate, integrated, integrates, Integrating, integration, interfaces, internal, Interviews, into, introduce, introduced, Introducing, Introduction, invisible, inviting, involved, involves, IPCC, Is, issue, issues, IT, iterations, ITS, Job, journey, KDnuggets, Key, Key Features, knowledge, laborious, language, large, large language models, launch, layer, leading, lengthy, LeT, Level, Libraries, Library, Lifecycle, like, likely, Lines, linked, ll, LLM, logged, make, Making, management, management system, mandatory, many, maximizing, May, means, Members, merely, messaging, method, methods, Metrics, Might, ML, model, models, Moderate, Monitor, monitoring, more, Moreover, most, moving, multi, multifaceted, multiple, must, native, Navigate, Need, needed, new, Next, notebook, notified, Now, number, occurrence, of, offer, offering, official, official launch, offs, often, on, ONE, only, open, open source, opened, operates, Operations, optimal, Options, or, oriented, Other, Others, our, out, outcome, outline, outlined, outputs, Own, page, part, particular, Parts, Pattern, performance, performs, perhaps, perspectives, phase, pipeline, pipelines, plato, Plato Data Intelligence, PlatoData, play, point, points, policy, possible, post, post-production, potential, pr, practical, pre, predefined, prefer, preferred, preliminary, Premier, principle, Prior, Problem, Process, produce, Produced, Product, Production, prominent, prompt, prompt injection, prompts, protection, provide, Providers, provides, publish, Pull, Push, pushed, put, quality, Quality Management, Quality Management System, queries, Question, questions, R, R&D, range, rather, RE, reach, reaches, ready, real, real-time, recognize, recognized, recommend, recommendations, reduce, refine, refining, regarded, regarding, regressions, regulations, regulatory, Regulatory Compliance, report, Reports, represents, Request, Requests, required, requirement, Requirements, Resolution, Resources, Respect, respond, responses, resulting, Results, retrieval, retrieved, reuse, review, risks, robustness, Run, s, safeguards, Safety, same, save, scan, scanning, scenario, scenarios, Science, scientist, scientists, Screenshot, screenshots, scrutiny, seamless, Search, section, Segmentation, Semantic, Semi, sensitive, Sensitive Data, serve, serves, set, Set Up, several, Share, should, significant, since, slack, smoothly, So, Software, software development, SOLVE, some, Someone, something, source, spaces, specific, Sponsored, Sponsored Content, Stage, stakeholders, standards, started, starting, statistical, step, steps, Stop, storage, Streamline, Streamlining, subsequent, substantial, Such, suggestions, Suite, suites, supervision, sure, Susceptibility, SWIFT, system, Systems, T, Take, tangible, task, Team, team members, Technical, test, testers, Testing, tests, text, that, The, their, then, There, These, they, things, this, thrilled, Through, throughout, Thus, time, to, tool, tools, topic, Toxic, trade, Training, transformations, trial, Trust, try, two, two-step, types, typically, Typos, Understanding, unending, Unfortunately, Unlike, up, Update, us, use, use case, Used, User, users, using, usually, validation, valuable, Various, ve, vector, version, versions, Via, View, vision, Vulnerabilities, want, we, we recommend, welcoming, What, What is, When, whenever, where, Which?, while, will, wish, with, within, working, would, writing, Wrong, years, Yet, You, Your, your business, yourself, zephyrnet... — Zephyrnet, 26d ago

Addressing this gap will require a multi-faceted approach including grappling with issues related to data quality and ensuring that AI systems are built on reliable, unbiased, and representative datasets. — AI News, 13d ago

...[00:23:25] Peter Bailey: And the privacy of that data, and also that it is possible to create world leading AI capabilities with that privacy and consent in place. And so we've rolled out those, those customer controls. Um, we're also working with our creators community, uh, who provide huge amounts of content, um, that populate Canva's, um, uh, template and media libraries, um, to, to make sure that we can fairly compensate those that consent to having their content used to train our AI systems. — Fiddler AI, 13d ago

Still in development, the nanowire network is expected to require far less power than silicon-based artificial intelligence systems to perform similar tasks. The network also shows promise at tasks that current AI struggles to accomplish: making sense of complex data, such as patterns in weather, traffic and other systems that change over time. To do so, today's AI requires tremendous amounts of training data and extremely high energy expenditures. — techxplore.com, 19d ago

...2023, 2030, 2049, 5g, 750, a, abilities, able, About, According, Account, Accounts, accurate, Act, activities, activity, Additional, advanced, advancements, Advertising, advisor, advisors, advisory, affect, affected, after, agents, aggregate, AI, AI assistant, AI bots, AI implementation, ai in banking, algorithms, All, allow, already, also, alternative, amount, amounts, an, analysis, Analysts, Analyze, analyzed, analyzes, Analyzing, and, another, answers, APIs, approach, appropriate, apps, AR, architects, ARE, areas, Aren't, array, article, Artificial, artificial intelligence, AS, ask, aspects, Assistant, Associate, assumptions, At, Automation, available, back, background, Bank, Banking, Banks, based, basic, BE, became, because, become, becomes, becoming, been, before, Beginning, behavior, being, beings, believe, better, better decisions, beyond, Beyond banking, BIG, Big Data, big tech, bigger, billions, biology, Bit, Blade, Blade Runner, Blog, bots, brain, brains, brand, brand-new, Bring, brings, Broader, buildings, business, businesses, But, Buying, by, calculating, CAN, carrying, case, Cash, caused, chance, change, chatbots, ChatGPT, check, clearly, Close, closely, closer, closest, Collect, collected, Collecting, combine, Companies, comparing, completely, computer, computers, concerns, condition, conditions, confirming, Congress, connected, Connections, conquer, consequences, content, contextual, control, conversational, correlations, could, course, Courses, cover, create, created, credit, credit scoring, critical, cross, Crossed, cure, currently, customer, customer experience, Customers, customized, Daily, daily lives, dare, Dark, data, data collected, data processing, data types, day, Deadly, decisions, deep, deeper, Design, desires, detected, DID, Diet, different, difficult, digital, digital banking, digital customer, digital space, digital technology, directions, discussed, disruptive, dramatically, drastic, drastically, Drones, Due, each, Easily, effect, Effective, embedded, enable, Engineers, enormous, entrepreneurship, equipped, esteem, ETC, Even, ever, Every, every day, every single, everyday, everyone, Everything, everywhere, exactly, example, exception, exchange, excitement, Executing, Exercise, existential, expansion, expensive, experience, Experiences, experts, explore, expressed, extracted, fact, factors, failures, Features, Fiction, field, Fields, finance, Finances, financial, Financial institutions, financial services, find, finding, Five, flow, For, for example, forecast, forecasts, Free, friends, from, frustrated, fulfilling, full, full spectrum, fully, further, future, Gadgets, gain, Galaxy, gap, generate, Generating, getting, Go, goal, Google, Grail, great, Grow, guide, habits, happen, happened, Have, having, Health, Healthier, heart, Help, hidden, Higher, historical, history, Hitchhiker, hottest, How, How To, huge, human, human brain, Humans, i, IBM, Ideas, Identification, identify, if, illnesses, imagine, imagined, immeasurable, Impact, impactful, implementation, importantly, impossible, in, Including, Increasing, incredible, individual, industries, influence, information, Innovations, insights, instant, institutions, intellectual, Intelligence, interesting, interests., interfaces, Internet, internet of things, into, Introduction, investment, iot, iPhone, Is, IT, ITS, just, kind, kinds, know, knowledge, large, Level, Library, Life, like, limitations, Limited, Lisbon, lives, Look, lot, lot of data, Made, Main, Mainstream, make, Making, making better, managing, mankind, manually, many, Market, Match, me, meaning, mentally, mentioned, Might, milestone, moment, more, most, move, Much, multiple, Mutual, my, Near, Need, needs, network, networks, never, new, new level, Next, next level, next step, no, Nothing, notifications, Now, number, of, Of course, Offers, offline, on, ONE, ones, online, online courses, only, open, Open Banking, Operations, Opinion, Opinions, Opportunity, or, ordinary, organize, Other, Others, our, OUR LIVES, out, outcomes, overall, paradigm, parameters, Party, past, patterns, People, perception, person, personal, personalized, perspective, phenomenal, physically, Physics, plato, Plato Data Intelligence, PlatoData, possibly, Posts, potential, power, predict, prepare, previously, private, problems, Process, processes, processing, produce, Product, Profile, Profiles, profiling, programmed, properly, Proposals, provide, providing, public, Push, push notifications, put, Question, questions, quickly, ranging, rapidly, rationality, realize, Recent, recommend, recommends, reduce, Reduced, Reduces, regimen, releasing, requires, restrictions, result, revolutionary, Right, right product, risks, runner, s, saving, say, scientific, scientists, scoring, security, see, seems, segments, SELF, sense, sensors, serious, Services, should, side, sides, significant, similar, single, smartphones, smartwatches, So, Social, social networks, solution, Solutions, SOLVE, solving, some, soon, sophisticated, source, sources, Space, specific, Spectrum, speculate, start, step, steps, still, stress, Struggles, success, successful, successful business, Such, Summit, Summit 2023, supercomputer, superhero, supernatural, support, Systems, T, Take, taking, tech, Technological, Technology, Than, thanks, that, The, The Future, the world, their, Them, themselves, There, These, thing, things, think, Thinking, Third, third-party, this, Thorough, those, thought, thousands, Through, Thus, time, times, to, Today, tomorrow, tons, tool, tools, topic, Topics, toy, Transform, transforming, transition, true, Trust, two, two years, types, Ultimate, Unfortunately, universe, us, use, useless, User, users, using, ux, valuable, variety, Vehicles, Verification, very, Voice, volume, vr, was, way, ways, we, Wealth, weather, web, Web Summit, WELL, were, What, what's, When, where, WHO, whole, will, with, without, Work, working, world, would, year, years, yes, Yet, You, Your, zephyrnet... — Zephyrnet, 17d ago

Latest

Freethink, 3d ago

A new study reveals we can no longer tell AI-generated faces from real human faces

Datanami, 3d ago

SAS Forecasts 2024 AI Trends: Tackling the Dark Age of Fraud with AI Solutions

CoinGenius, 3d ago

Scale Foundation Model Inference To Hundreds Of Models With Amazon SageMaker – Part 1 | Amazon Web Services - Plato Data Intelligence

RTInsights, 10d ago

How to Make “Reasoning Computers” Possible - RTInsights

CleanTechnica, 4d ago

Will Cleantech Align Itself With Ethical AI? - CleanTechnica

Open Access Government, 4d ago

AI and modern experimental biology: A historical perspective

Security Boulevard, 19d ago

Assessing the security posture of a widely used vision model: YOLOv7

prnewswire.com, 4d ago

Congruity360 Pioneers Risk-Free “Smart Data,” Lowers Enterprise Storage & Backup Costs While Mitigating Unnecessary Risk Exposure – Techregister

Latest

In these ways, the grey market augments an investor’s view of new bond deals coming to market. Yet, the data need to be considered in parallel with deal data coming directly from syndicates via official sources. Bringing grey market data into the decision-making process can be complicated because grey market activity takes place on informal channels such as Instant Bloomberg (IB) Chat or Liquidnet’s data stream for new issue trading. In the case of chats, the data are unstructured and, thus, a challenge to aggregate, normalize and otherwise format to present alongside more traditional sources of deal data. Fortunately, AI and related advanced data parsing techniques can come into play to efficiently present grey market data alongside structured data from formal sources. — CoinGenius, 4d ago

AI has possible downsides and restrictions, just like any other new technology. Concerns around false information and data privacy have grown. Its seeming incapacity to forge genuine connections with the world around us raises other issues. The well-known blogging destination Medium has even implemented rules to limit the use of AI on its network, reminding readers that they are a place for human storytelling. For AI to be effectively applied in any industry, including events, businesses need to grasp the notion of “Explainable AI.”... — Event-Technology Portal, 4d ago

As the head of one AI company put it this month, one problem is that generative AIs are neither “truth machines”, as he put it, nor trained to be. At the very least, students and teachers need to understand that. Models trained on data scraped from the pre-2021 internet are no guarantee of accuracy or lack of bias. — diginomica, 4d ago

Multimodal AI and AI simulation will reach new frontiers“The integration of text, images and audio into a single model is the next frontier of generative AI. Known as multimodal AI, it can process a diverse range of inputs simultaneously, enabling more context-aware applications for effective decision making. An example of this will be the generation of 3D objects, environments and spatial data. This will have applications in augmented reality [AR], virtual reality [VR], and the simulation of complex physical systems such as digital twins.”– Marinela Profi, AI/Generative AI Strategy Advisor, SAS... — MarTech Series, 4d ago

The scope of applications for this new system stretches across various industries and use cases. Customers can privately customise foundation models with their data, convert data into vector embeddings, and process these embeddings using MongoDB Atlas Vector Search. Applications responding to user queries can do so with relevant, contextualised responses, eliminating the need to manually code. For instance, a retail apparel organisation can develop a generative AI application to simplify the processing of inventory requests in real-time or personalise customer returns and exchanges with in-stock, similar merchandise suggestions. Fully managed capabilities from the upcoming integration offer secure use of generative AI throughout organisations with lower operational overheads. — ChannelLife Australia, 4d ago

Artificial intelligence (AI) and cleantech adoption are largely considered to be one-and-the-same these days. AI is compressing and analyzing the massive amounts of data that the cleantech industry produces. It can help optimize solar and wind farms, simulate climate and weather, enhance power grid reliability and resilience, and advance carbon capture and power fusion breakthroughs. Its original prophecy to improve efficiency, reduce costs, and speed up R&D has been proven. However, ethical AI concerns do haunt the cleantech industry. — CleanTechnica, 4d ago

Top

Consequently, AI can assist companies in improving the quality of their judgments using predictive analytics. Artificial intelligence (AI) systems may find patterns and trends in vast amounts of data humans overlook, giving organizations information that helps them make better decisions. PwC conducted a survey and found that 63% of corporate executives thought AI would greatly influence their sector. Predictive analytics, for instance, can be used in finance to spot possible stock market hazards and opportunities, enabling investors to make safer and more informed investment choices. — The European Business Review, 5d ago

But while generative models can achieve incredible results, they aren't the best choice for all types of data. For tasks that involve making predictions on structured data, like the tabular data in a spreadsheet, generative AI models tend to be outperformed by traditional machine-learning methods, says Devavrat Shah, the Andrew and Erna Viterbi Professor in Electrical Engineering and Computer Science at MIT and a member of IDSS and of the Laboratory for Information and Decision Systems. — techxplore.com, 24d ago

For years, tech companies like OpenAI have freely used news stories to build data sets that teach their machines how to recognize and respond fluently to human queries about the world. But as the quest to develop cutting-edge AI models has grown increasingly frenzied, newspaper publishers and other data owners are demanding a share of the potentially massive market for generative AI, which is projected to reach $1.3 trillion by 2032, according to Bloomberg Intelligence. — The Foundation for Individual Rights and Expression, 19d ago

lesswrong.com, 26d ago

On the UK Summit — LessWrong

insideBIGDATA, 11d ago

Heard on the Street – 11/27/2023 - insideBIGDATA

diginomica, 25d ago

Watchful bridges generative AI transparency gap

nasscom | The Official Community of Indian IT Industry, 17d ago

Optimizing Banking using AI and Predictive Analysis

Forbes, 13d ago

AI Assistants Everywhere: Why Ethical And Responsible AI Is Our Most Important Investment

Latest

A pivotal element of Feedzai’s approach is using behavioural analytics, empowered by ML, to pre-emptively identify and flag unusual or potentially fraudulent activities. This is particularly crucial in an environment where the nature of scams is constantly changing, necessitating technologies that can swiftly adapt to new data and evolving scam patterns. — Fintech Singapore, 4d ago

It is a fact that AI, along with big data technology, is having a huge impact on many sciences, even if we only consider its tremendous capacities for prediction and pattern recognition. But as Judea Pearl and Dana Mackenzie in Book of Why made clear, these technologies cannot – at least not yet – answer causal questions or provide molecular or other underlying explanations for statistically determinable phenomena beyond establishing correlations. — Open Access Government, 4d ago

Artificial intelligence is transforming how investments are managed and analyzed. AI algorithms are capable of processing and analyzing much larger amounts of data than humanly possible, identifying trends and investment opportunities that might otherwise go unnoticed. This technology not only helps in discovering new investment opportunities but also plays a crucial role in risk management, providing more accurate and timely forecasts and analysis. — Insightssuccess Media and Technology Pvt. Ltd., 4d ago

...1, 10, 10th, 2023, 29, 3-way matching, 30th, 7, 8, 9, a, ability, access, accessible, According, Account, Accounting, Accounts, Accounts payable, Accounts Payable Automation, Accounts Payable Process, accuracy, accurate, accurately, ach, achieve, achieving, Actual, ADD, ADvantage, AI, All, also, amount, amounts, an, analysis, analytics, and, annual, annual report, another, anywhere, AP Automation, AP Automation Software, AP Processes, applicable, approval, approvals, approve, approved, ardent, ARE, AREA, Artificial, artificial intelligence, AS, At, audit, Audit Trail, Authority, authorized, automate, Automated, automates, automatic, automatically, Automating, Automation, automation software, available, available methods, avoid, Backbone, Balance, balances, Bank, bank account, based, BE, because, being, benefits, Besides, BEST, best practices, better, better decisions, between, Books, bottlenecks, Built, built-in, business, business intelligence, Business results, businesses, by, called, CAN, capability, capture, captures, Cash, cash flow, centralized, Character, character recognition, characterized, Checks, class, Close, closed, Cloud, cloud-based, Collect, Communications, Companies, company, company's, Competitive, complete, compliance, connected, Consider, consideration, consistently, contract, contributor, control, controls, Cost, cost-effective, Costs, credit, Credits, Currency, currency exchange, Dashboards, data, Data Analytics, data entry, date, day, Days, decision, decisions, demonstrate, departments, designated, desired, detect, digital, digital wallet, Discount, discounts, discover, discrepancy, disputes, document, documents, Domestic, don, don't, driven, Due, Duplicate, duplication, duties, Early, earned, Earning, Effective, effectively, efficiency, electronic, electronic payment, element, Eliminates, email, enhanced, Enhancing, Ensures, entries, entry, environmental, environmental sustainability, ERP, errors, essential, establish, example, exception, exceptions, exchange, expanded, external, extra, faster, Faster Payments, File, finance, financial, flag, flow, For, for example, Foreign, forever, forms, fraud, Fraud Risk, Fraudsters, fraudulently, frequency, from, full, funds, future, gain, gain efficiency, gaining, General, getting, give, Global, Global payments, Goals, good, goods, Grail, gross, handle, Have, Help, helps, history, if, implement, implementing, improve, improves, improving, in, include, includes, Including, Increase, increases, indicates, information, Instead, integration, Intelligence, Intelligent, internal, intervention, into, inventory, invoice, Invoice Management, invoice processing, invoices, Irregularities, Is, issue, issues, IT, items, ITS, journal, Key, KPIs, large, learning, Ledger, less, Level, like, limiting, Limits, Line, ll, loss, Lost, Lower, machine, machine learning, Made, mail, mailing, maintain, make, Making, management, manual, manually, many, margin, master, matching, Maximize, May, method, methods, Metrics, missing, ML, Modern, money, more, most, must, Near, Need, negotiated, net, no, notifications, OCR, of, offered, on, onboard, Onboarding, ONE, only, optical, optical character recognition, optimize, or, order, Ordered, orders, organizations, Other, Others, outside, overpayment, Paper, paper documents, paperless, particularly, partners, paving, Pay, Payable, payees, paying, payment, payment method, Payment Methods, payments, PayPal, pays, per, perform, performed, person, planned, plato, Plato Data Intelligence, PlatoData, po matching, point, policy, Portal, possess, possible, post, potential, practices, prepared, prevent, price, printing, Process, Process Automation, processes, processing, profitability, promptly, proper, provides, prowess, purchase, purchase order, purchases, Quantity, quickly, rather, real, real-time, received, receiving, recognition, reconciliation, reduce, Reduces, reduction, refunds, regularly, Relationships, relevant, reliability, repetitive, replace, report, Reporting, Reports, repository, Request, require, required, resolve, responsible, result, Results, review, revise, Risk, Robotic, Robotic Process Automation, role, routing, rpa, rules, s, save, save money, saves, segregation, separation, Services, should, significantly, signing, siloed, similar, smarter, So, Software, solution, sooner, speeds, spend, spreadsheets, staff, stakeholders, State, States, Status, steal, stealing, straight, Strategy, Streamline, Streamlining, strengthen, Strengthens, strong, stuffing, subset, substantial, supplier, suppliers, Sustainability, system, system integration, Systems, T, Take, taking, tasks, tax, Team, Technology, technology-based, technology-driven, terms, Than, that, The, The State, their, These, this, three, Through, time, timeliness, timely, to, top, Top 10, top best, trail, transaction, Transactions, transfer, transfers, Transformation, twice, two, two-way, type, types, Unified, United, United States, unnecessary, up, up-to-date, uploaded, use, Used, using, vendor, vendors, Verification, visibility, Visualize, W, Wallet, washing, way, When, where, while, WHO, will, Wire, with, without, workflows, worthwhile, would, writing, year, You, Your, your business, zephyrnet... — Zephyrnet, 4d ago

There are several out-of-the-box use cases, including helping to reduce the legal burden by drafting contract summaries or clauses to cover specific elements, generating performance improvement plans from supplier response reviews, and instant document analysis for more informed decisions. This AI solution can even extract relevant data and insights from different documents and suggest queries based on common issues. — CFOtech Australia, 4d ago

Having been trained on geospatial information such as satellite images, IBM has found that its AI models can address climate change by creating knowledge representations from climate-relevant data and as a result, accelerate the discovery of environmental insights and solutions. IBM also states that its models can be fine-tuned and then applied across multiple areas that work to mitigate climate impact. — aimagazine.com, 4d ago

Latest

Fast Company, 4d ago

Should we be afraid of Q*, OpenAI’s mysterious AI system?

TechRound, 5d ago

We Asked The Experts: As ChatGPT Turns One Today, How Has It Revolutionised Industries?

OpenView, 4d ago

B2B Marketing in 2024: 8 Trends That Are Changing the Game and What They Mean for Your Business - OpenView

Dynamic Business, 5d ago

How do you use data analytics for business insights?

gbiimpact.com, 5d ago

SkopeAI for ChatGPT and Generative AI

CNRS News, 5d ago

The challenges of frugal AI

Technology Networks, 5d ago

TIMS: A New Dimension in Protein Analysis

CDInsights, 15h ago

new What's the future of GenAI? Checking in with Industry Leaders - CDInsights

Top

The ability of AI to convert Data into actionable insights can help organizations from Better Efficiency, Customer Service, alignment on company-wide goals, transparency to generating new revenue models. The Power and Scale that AI has for Business and Governments has been proven, and the excitement of Generative AI has taken it to a different level. As organizations use different data sources and datasets to Artificial Intelligence, it’s important to have the right guardrails in place to ensure data quality, governance compliance, and transparency within your AI systems. — Analytics Insight, 12d ago

...3.0, 35, 80, a, abilities, accept, According, acquire, actions, active, Ad, adapt, adaptability, Adaptable, adaptive, Additionally, address, Ads, advanced, advancements, advertisements, Advertising, advice, Age, ahead, AI, AI algorithms, AI Tools, AI-Powered, algorithms, align, Allowing, also, amounts, an, analysis, analyzes, Analyzing, analyzing data, and, anticipate, app, Application, applications, applied, approaches, AR, AR filters, ARE, array, article, articles, Artificial, artificial intelligence, AS, asked, aspect, aspects, assesses, assessing, assist, assistance, assistants, assisting, At, augmented, Augmented Reality, Automated, Automating, Automation, based, BE, become, behavior, belonging, benefits, better, Better results, blockchain, blockchain project, boosting, boosts, both, brand, branding, brands, build, build trust, Building, builds, business, business operations, business owner, businesses, by, Campaigns, CAN, capabilities, capable, capitalize, categorizes, change, changing, characterized, chatbots, Chatbots and Virtual Assistants, choice, cognitive, collaborations., Commenting, comments, Commerce, Common, Communication, Communities, community, Companies, compelling, Competitive, complex, Conclusion, conduct, Connections, consistent, Consumers, consuming, content, content creators, content moderation, ConTeXt, continuous, conversational, Conversion, conversion rates, conversions, Core, cornerstone, Costs, create, Creating, Creators, curve, customer, Customer Data, customer experience, Customer Feedback, Customer satisfaction, Customer Service, Customer Support, Customers, customized, data, data analysis, data privacy, data security, data-driven, decision, decreasing, deliver, deliver personalized, delivering, delve, detecting, Detection, determines, Development, developments, digital, digital environment, digital era, digital marketing, digital platforms, digital world, discover, domain, driven, driving, dynamic, e, e-commerce, each, easier, Effective, effectively, effectiveness, effects, efficiency, efficient, elevating, emails, embrace, emerging, Emerging AI Technologies, emotion, emotion recognition, Emotional, emotions, Empathetic, employs, empower, enable, enables, enabling, encompasses, engage, engagement, enhance, enhanced, enhances, Enhancing, Ensures, ensuring, enthusiast, Environment, Era, establishes, ethical, ethical AI, ethics, Even, ever, ever-changing, Every, everyone, evolve, evolves, evolving, Excel, exist, existing, experience, Experiences, expert, explanation, explore, extraordinary, eye, feedback, feeds, filters, Focus, For, Force, forefront, Fostering, fosters, four, frequently, fresh, from, future, future trends, gain, Gartner, gauge, generate, generated, Generating, great, Handling, harmful, harness, here, Higher, highly, history, How, How To, HubSpot, human, human intelligence, human-like, hyper, Ideas, Identification, identifies, identifying, image, Impact, implement, importance, improve, Improved, improvements, in, Inappropriate, Including, Incorporating, Increase, increased, Increasing, individuals, influence, influencers, Innovation, innovative, inquiries, insights, instant, integrate, integration, Intelligence, Intelligent, interact, interactions, interests., into, Introduction, invest, involvement, involves, iot, Is, issues, IT, ITS, Job, journey, keep, keeping, Key, known, landscape, lead, leading, learning, leaving, less, LeT, Level, Leverage, leveraging, Life, lifelike, lifelong, like, ll, looking, Loyalty, machine, machine learning, Machines, make, makeup, Making, management, managing, manual, Market, market research, marketers, Marketing, Marketing Emails, material, Matters, May, Media, messaging, method, methods, moderation, Monitor, monitoring, more, more efficient, must, Name, Navigation, Need, negative, Netflix, networking, Networking opportunities, new, of, offensive, offer, offering, on, ongoing, online, online communities, online presence, open, Operational, operational efficiency, Operations, Opinions, opportunities, optimal, optimizes, or, order, our, overall, owner, Paramount, partnerships, Passive, People, perform, perform tasks, personal, Personal Branding, personal data, personalization, personalized, pivotal, planning, platform, Platforms, plato, Plato Data Intelligence, PlatoData, plays, position, Positive, post, posting, Posts, potential, power, Powered, practices, precise, prediction, Predictions, preferences, preferred, prepare, preparing, presence, PrimaFelicitas, primary, prioritize, privacy, proactively, processes, Product, product development, professionals, project, projects, promoting, prospects, provide, providing, psychological, public, questions, quick, quickly, range, rapidly, Rates, RE, reach, ready, real, real-time, Reality, realm, recognition, recommend, Recommendation, Recommendation system, recommendations, Redefine, reduce, reducing, reflecting, RELATED, relevant, Remain, removes, removing, Reports, require, requires, research, reshape, reshaping, Respect, respectful, respond, response, responses, Results, Retention, revealing, revolution, revolutionized, Revolutionizing, role, Routine, s, safer, Safety, satisfaction, Scalability, Scheduling, scrolling, Secure, security, see, sees, sense, sentiment, sephora, serve, Service, serving, sharing, should, significant, significantly, signifies, Simply, skill, skill development, skills, skincare, Social, social media, Social Media Engagement, Social Media Management, social media platforms, social media posts, solution, Solutions, Someone, sophisticated, spaces, specific, standard, statistics, stay, step, Strategic, Strategies, Streamline, Streamlining, studies, success, Successfully, Such, suggestions, support, Survey, survive, SWIFT, swiftly, system, Systems, tags, tailor, tailored, targeting, tasks, Team, Technological, technological developments, Technologies, Technology, terms, text, Than, that, The, The Future, their, Them, themselves, There, These, they, this, Through, throughout, time, time-consuming, times, tips, to, tones, tool, tools, Topics, traditional, traditional methods, Traditionally, Transformation, transformative, Transparency, trend, Trends, triggered, Trust, turning, two, ultimately, understand, Understanding, up, updated, Upgrade, use, User, user behavior, user data, user engagement, users, uses, using, Utilization, utilizing, valuable, values, Various, Vast, vibrant, Video, Videos, viewing, views, Virtual, virtual assistants, visibility, visual, vital, vs, way, we, web, Web 3, Web 3.0, Website, WELL, well-known, where, whether, while, WHO, Why, will, wish, with, within, world, worldwide, Wrapping, Yields, You, Your, zephyrnet... — Zephyrnet, 14d ago

Considering that most of the AI datasets that are currently being used to train AI systems are made from internet-scraped data originally created by, well, all of us online, data partnerships may not be the worst way to go. But as data becomes increasingly valuable, it'll certainly be interesting to see how many AI companies can actually compete for datasets — let alone how many institutions, or even individuals, will be willing to cough their data over to AI vacuums in the first place. — Futurism, 20d ago

Generative AI systems are developed in two main phases: first the development of a model by learning from very large quantities of data and significant computing capacities, called a foundation model or generative model, then, in a second phase, its implementation in a system. This can be general purpose, like ChatGPT, which produces answers from queries, or adapted to different domains in industrial sectors, after including data specific to them. — Archyde, 6d ago

...“However, while generative AI-powered LLMs are making life easier in numerous ways, we need to be acutely aware of their limitations. For a start, they’re not accurate: GPT-4 Turbo has the most up-to-date data since its inception, but still only contains world knowledge up to April 2023. These systems also hallucinate and have a clear tendency to deliver biased responses. The real concern with ChatGPT is the way these LLMs are presented. They give a ‘human-like’ interaction which inclines us to trust them more than we should. To stay safe navigating these models, we need to be much more skeptical with the data we are given. Employees need in-depth training to keep them up to date with the security risks posed by generative AI and also what its limitations are.”... — TechRound, 5d ago

Training of AI models requires massive amounts of data, some of which includes PII. There is currently little insight into how the data is being collected, processed and stored which raises concerns about who can access your data and how they can use it. There are other privacy concerns surrounding the use of AI in surveillance. Law enforcement agencies use AI to monitor and track the movements of suspects. While highly valuable, many are worried about the misuse of those capabilities in public spaces, infringing upon individual rights to privacy. — The ChannelPro Network, 17d ago

Latest

In recent years, the France multi camera vision inspection systems market has observed significant trends, including an increase in the utilization of AI and ML within these systems. The incorporation of AI and ML empowers the systems to acquire knowledge and adjust accordingly, enhancing their efficiency and ability to handle intricate inspection tasks. This trend is in line with the broader movement toward Industry 4.0 and smart manufacturing, where data-driven decision-making and automation hold paramount importance. — alliedmarketresearch.com, 4d ago

In LLMOps the main differences compared to MLOps are model selection and model evaluation involving different processes and metrics. In the initial experimentation phase, the data scientists (or fine-tuners) select the FM that will be used for a specific Generative AI use case.This often results in the testing and fine-tuning of multiple FMs, some of which may yield comparable results. After the selection of the model(s), prompt engineers are responsible for preparing the necessary input data and expected output for evaluation (e.g. input prompts comprising input data and query) and define metrics like similarity and toxicity. In addition to these metrics, data scientists or fine-tuners must validate the outcomes and choose the appropriate FM not only on precision metrics, but on other capabilities like latency and cost. Then, they can deploy a model to a SageMaker endpoint and test its performance on a small scale. While the experimentation phase may involve a straightforward process, transitioning to production requires customers to automate the process and enhance the robustness of the solution. Therefore, we need to deep dive on how to automate evaluation, enabling testers to perform efficient evaluation at scale and implementing real-time monitoring of model input and output. — CoinGenius, 4d ago

...1, 15 years, 50, a, able, About, accelerate, accelerated, Account, actions, ADD, after, aggregate, aggregate data, AI, AI/ML, allowed, allows, Along, already, also, Alternatively, Amazon, Amazon Athena, Amazon Redshift, Amazon S3, Amazon SageMaker, Amazon SageMaker Canvas, Amazon SageMaker Data Wrangler, Amazon Web Services, amp, an, analyses, analysis, analytics, Analyzing, and, any, appear, Application, apply, approaches, Architect, architecture, ARE, AS, assistance, assuming, At, athena, authenticate, Authentication, authors, automate, Automating, AWS, back, Balance, Balanced, BE, BIG, Big Data, borrower, both, browse, build, Building, Built, built-in, business, business impact, business insights, by, CAN, Can Get, canvas, capabilities, capability, case, charged, chat, choose!, choosing, class, classes, classification, Clean, clean data, Cleaning, click, Click On, Close, code, Coding, Column, company, complete, complex, complexities, comprehensive, computer, computer science, Conclusion, configure, connect, connection, connectors, consulting, consuming, continue, conversational, cooking, correlation, cover, create, creation, Credentials, credit, Credit Risk, crucial, CSV, Current, customer, Customer-Centric, Customers, data, data analysis, data flow, data flows, data insights, Data Preparation, data processing, data quality, Data Science, Data Sources, data-driven, Database, dataset, Datasets, day, default, degree, demonstrated, deploy, deploying, deployments, describing, Design, destination, detailed, direction, directly, disappeared, discover, distributed, documentation, down, download, dr, driven, Drop, dropping, Easily, Education, Efficacy, empowers, enable, enabled, enables, enabling, Encode, end, end-to-end, engineer, English, enhance, ensure, Enter, entire, Environment, example, expect, experience, experiencing, explore, EXPORT, exported, exports, families, faster, Feature, Features, final, financial, financial data, financial services, First, flow, flows, follow, following, food, For, for example, Foundations, fresh, friends, from, fully, function, further, generate, generated, generates, Get, give, guide, guided, handle, Have, he, High, high-quality, hiking, his, hosting, hot, How, How To, human, human intelligence, Hundreds, Hunting, ID, if, immersion, Impact, implemented, Import, importance, importing, improve, Improved, improvements, in, Incorporated, Independent, indicating, inference, information, Informative, inner, INSIGHT, insights, instructions, integration, Intelligence, interactions, interactive, interface, into, intuitive, involves, Is, issues, IT, ITS, Job, join, journeys, Key, knowledge, language, large, large-scale, Last, launch, launches, leading, leads, LEARN, learning, Leave, left, Level, lies, Lifecycle, like, List, Listening, ll, Loan, Loans, local, locate, log, login, Look, look like, loved, loved ones, loves, low, machine, machine learning, make, manager, managing, mark, master, merge, method, methods, minority, missing, ML, ML Model, ML Models, MLops, model, Model building, model training, models, modest, more, Music, Name, Natural, Natural Language, Navigate, Need, needed, new, new feature, Next, next level, Nguyen, no, no-code, Node, nodes, notebooks, notification, Now, oauth, of, OFF, often, OKTA, on, ONE, ones, Option, or, our, out, outcomes, outdoors, outliers, outside, Over, overview, page, pane, part, passionate, payment, performance, performant, phd, phrases, pipeline, pipelines, plain, plato, Plato Data Intelligence, PlatoData, post, Powered, predict, prediction, Predictive, Predictive Analysis, predicts, Preparation, prepare, preparing, Preparing data, Prerequisites, priority, Problem, problems, Process, processing, Product, Product Manager, Products, professional, provides, providing, Psychology, quality, quick, quickly, ranges, rapidly, real, real-time, Red, redirect, refer, removing, replace, report, Requests, researching, resting, review, Right, Risk, role, Run, runs, s, SageMaker, SageMaker Inference, Salesforce, same, sample, sampling, save, Scale, Scale AI, schedule, Science, Score, Screen, seamlessly, Search, see, Select, Senior, Service, Services, services company, set, Set Up, setup, she, should, side, Simple, SMOTE, Snowflake, solution, Solutions, SOLVE, sources, Spark, specialist, Spending, standard, statistics, step, steps, storage, Strategic, studio, successful, Such, Supports, sure, symbol, Synthetic, synthetic data, taking, Target, tasks, Technical, technologist, text, that, The, Them, then, this, Through, time, time-consuming, to, train, Training, Transform, transformations, transforming, transforms, two, type, understand, understands, Unified, up, us, use, use case, User, using, very, visual, Visualizations, walk, walkthrough, Warning, warnings, we, web, web services, WELL, When, whether, Which?, while, WHO, whole, will, with, within, without, Work, workflow, works, Workspace, would, years, Yet, You, Your, zephyrnet... — Zephyrnet, 4d ago

Security Boulevard, 6d ago

The Necessity of Security Best Practices When Implementing Generative AI

The Health Foundation, 6d ago

A game changer for health care as we know it

SiliconANGLE, 7d ago

A re:Invent exclusive: AWS CEO Adam Selipsky to reveal a new generative AI stack - SiliconANGLE

IT Brief Australia, 7d ago

Exclusive: Eight vendor AI security predictions for 2024

DATAQUEST, 17d ago

New Research highlights Seismic Gap in Companies’ Preparedness for AI

Latest

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. However, the increasing cost associated with training and fine-tuning these models poses a challenge for enterprises. This cost is primarily driven by the sheer volume of data used in training deep learning models. Today, large models are often trained on terabytes of data and can take weeks to train, even with powerful GPU or AWS Trainium-based hardware. Typically, customers rely on techniques and optimizations that improve the efficiency of a model’s training loop, such as optimized kernels or layers, mixed precision training, or features such as the Amazon SageMaker distributed training libraries. However, there is less focus today on the efficiency of the training data itself. Not all data contributes equally to the learning process during model training: a significant proportion of the computational resources may be spent on processing simple examples that don’t contribute substantially to the model’s overall accuracy. — CoinGenius, 4d ago

The IEEE recently conducted a study, finding that 65% of CTOs and CIOs believe AI will be the most important technology next year and will be used in diverse ways across the global economy. Leaders also reported that they will be focusing on AI applications and algorithms that can optimise data, perform complex tasks and make decisions with human-like accuracy. Potential applications include:... — electronicspecifier.com, 4d ago

We had a scheduled press release to announce our patent-pending Context-based NLP upgrade for December 6, 2022. On November 30, 2022, OpenAI announced ChatGPT. The announcement of ChatGPT changed not only our roadmap but also the world. Initially, we, like everyone else, were racing to understand the power and limits of ChatGPT and understand what that meant for us. We soon realized that our contextual NLP system did not compete with ChatGPT, but could actually enhance the LLM experience. This led to a quick decision to become OpenAI enterprise partners. Since our system started with the idea of understanding and answering questions at a granular level, we were able to combine the “bot conductor” system design and seven years of intent data to upgrade the system to incorporate LLMs. — unite.ai, 4d ago

...“Early public and private AI solutions have yielded significant financial rewards for early adopters,” said Brian Davidson, Congruity360 Chief Executive Officer and Managing Partner. “As the impact of AI projects scale, it is essential that the fuel of AI, aka data, is correctly classified and de-risked. PII and private corporate data must be classified out of AI training models. Congruity360 is uniquely positioned to offer AI a simple, fast, and automated classification engine. Do not ruin the rewards of AI by unknowingly feeding it risk and obsolete data.”... — prnewswire.com, 4d ago

Malyon outlined the goal to lower the typical 800 reports from a grand prix to a more manageable 50, easing the strain on FIA staff. In addition to Computer Vision, the FIA trialled Catapult in Abu Dhabi, a system designed to improve car location accuracy. Chris Bentley, Single-Seater Head of Information Systems Strategy, mentioned how similar technology is used in NFL for player identification and how it could enhance the FIA's live feeds. He said: "There are examples in NFL where they can identify every player on the pitch, even if they're in a big huddle. We can also use that technology on our live feeds. That will be the same as the new tool, and then we will be able to draw the 'lines of interest'. And then the AI would learn as it goes along."... — electronicspecifier.com, 4d ago

AI71, through strategic partnerships and collaborations, empowers clients to implement its AI models, unlocking access to advanced data reservoirs for superior generative AI performance. More importantly, AI71 will enable decentralized data ownership, allowing clients to retain control of their own data. This offering will set new standards for privacy and security, serving as a differentiator for AI projects where data sovereignty is critical. This is a game-changing option for AI accessibility, particularly for enterprises, large corporations, and foreign government entities keen to ensure that their data remains private. — Telecom Review, 4d ago

Top

diginomica, 21d ago

What a hacker can tell you about AI security – or the lack of it...

MarkTechPost, 28d ago

Peeking Inside Pandora's Box: Unveiling the Hidden Complexities of Language Model Datasets with 'What's in My Big Data'? (WIMBD)

Cloud Native Now, 19d ago

Scaling Kubernetes With AI and Machine Learning

dataconomy.com, 19d ago

7 unconventional ways to use AI chatbots for homework help

SiliconANGLE, 24d ago

There's more to AI than generative AI - SiliconANGLE

The Scholarly Kitchen, 22d ago

Approaching Artificial Intelligence and Open Research in Sync: Opportunities and Challenges - The Scholarly Kitchen

Business Insider, 19d ago

AI: the world is finally starting to regulate artificial intelligence - what to expect from US, EU and China's new laws

My TechDecisions, 16d ago

What is It About AI That Brings Excitement, Fear and Curiosity All at Once?

Latest

At its big cloud computing shindig up in Las Vegas, Amazon’s AWS division finally announced its entry in the AI chatbot wars. Oddly enough, the new LLM-based chatbot is called “Amazon Q.” Unlike Google’s Bard and OpenAI’s ChatGPT, Amazon Q is not intended for the general public. Rather, the bot is designed for workers within large enterprises that need AI assistance to access and synthesize their company’s corporate data. For many companies, all that data is stored in the AWS cloud, with AWS guaranteeing their data is secure. Security is the reason many companies have been hesitant to use chatbots that weren’t designed with businesses in mind (like the consumer version of ChatGPT); they fear that a third-party chatbot might leak the data or put it in the wrong hands internally. AWS customers will likely trust it to keep data safe, and the assistant can use the permissioning system that the customer company already has set up to govern which employees get access to various types of data. — Fast Company, 4d ago

...1, 2 months, a, ability, able, About, accelerating, access, accessible, accuracy, across, Act, Action, ADD, Added, Adding, addition, ADvantage, AI, AI applications, AI assistant, AI-Powered, All, also, Amazon, Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, Amazon OpenSearch, Amazon OpenSearch Service, Amazon QuickSight, Amazon RDS, Amazon Redshift, Amazon S3, Amazon SageMaker, Amazon Web Services, among, amounts, an, analysis, Analysts, analytics, and, announced, another, any, APIs, Application, applications, apply, ARE, AREA, AS, ask, assist, Assistant, At, augmented, aurora, Author, authors, automatically, availability, available, AWS, aws re:Invent, Azure, BE, been, being, beneficial, better, between, beyond, BI, break, break down, bristol, broad, brought, build, Building, Built, business, business data, business intelligence, business needs, But, by, CAN, Can Get, can help, capabilities, capability, case, cases, Catalog, choice, clicks, Cloud, cloud data, cloud data warehouses, CO, code, coming, coming soon, Command, Companies, compatibility, compatible, compelling, complete, complex, complexity, compliant, comprehensive, compromising, Compute, concurrent, confident, connect, connecting, consumer, consumer finance, ConTeXt, contextual, contextually, continuously, Cost, course, create, created, creativity, critical, Current, curve, Customers, customize, customizing, Cycle, dashboard, Dashboards, data, Data Across, data analysts, data catalog, data integration, data lake, data lakes, data management, data movement, data privacy, data silos, Data Sources, data warehouse, data warehouses, Database, databases, Datasets, date, day, Days, deliver, deliver personalized, delivering, delivers, Demand, demanding, descriptions, Development, different, differentiate, differentiator, Digit, digital, Digital media, dimensions, discover, Does, down, driven, dynamic, DynamoDB, earlier, easier, Easily, easy, Edition, editor, efficiency, Eliminate, enable, enabling, end, end-to-end, Engineers, engines, enhancements, ensure, Enterprise, entire, especially, ETL, Even, events, everyone, everywhere, example, exciting, existing, expanded, explored, extract, Facebook, facets, factoring, family, faster, Feature, Features, feel, few, few clicks, files, Finally, finance, financial, fine, First, Flexibility, fms, focused, For, for example, For You, Forward, found, Foundation, Founded, four, from, Fuel, fully, functionality, future, G2, General, generation., generative, Generative AI, generic, geolocation, Get, going, govern, governed, Have, he, Health, heavy, heavy lifting, Help, help you, helped, helps, High, high-quality, highly, his, history, HOURS, Humans, Hundreds, if, improve, improvements, in, include, includes, Including, index, information, ingestion, innovate, Innovation, Innovations, insights, instance, instantly, integrated, Integrating, integration, integrations, Intelligence, Intelligent, interface, into, introduced, Intuit, intuitive, invested, investing, IP, Is, IT, ITS, Job, join, JSON, just, Key, Keynote, knowing, knowledge, lakes, language, Last, Last Year, launched, leading, LEARN, learning, Leverage, leveraging, lifting, like, List, lives, Llama, load, Look, machine, machine learning, Made, maintained, maintaining, make, Makes, Making, managed, management, manages, many, Matter, Media, meet, Meta, metadata, Microsoft, million, Millions, millisecond, ML, model, models, Modern, Monday, MongoDB, monitoring, months, more, most, Most Popular, movement, moving, multiple, mysql, Natural, Natural Language, Nature, Near, necessary, Need, needs, Neptune, never, new, new feature, Newest, no, non-relational, Now, number, obvious., of, Of course, offer, Offerings, Offers, on, ONE, only, operate, operating, Operational, operational data, Optimizations, optimize, Option, Options, or, organization., organize, Other, our, our data, outcomes, Over, Own, part, partners, Parts, patterns, per, perfectly, perform, performance, personalized, pioneer, pipelines, place, platform, plato, Plato Data Intelligence, PlatoData, Popular, portfolio, possibilities, possibility, PostgreSQL, Powered, Preview, price, Prior, privacy, proactively, produce, Production, productive, Programming, Programming tools, promotions, prompt, proven, provide, quality, quality data, query, quickly, quite, ran, range, RDS for MySQL, RE, read, real, real value, real-time, reasons, redis, reduce, relational, relational database, relational databases, relationship, Released, relevant, Relevant Information, remove, Requirements, requires, retail, retrieval, retrieve, return, Right, role, Run, s, SageMaker, same, Scalability, Scale, scales, scaling, scientists, sdks, Search, second, seconds, Secure, securely, see, seeing, selection, server, Serverless, Service, Services, set, Set Up, Share, silos, Simple, simplicity, single, small, small business, So, some, soon, sources, spanning, spans, specific, speed, Spoke, SQL, SQL server, Stage, storage, store, stored, stores, Stories, strong, success, suited, support, Supports, Take, take advantage, targets, tax, Technologies, Technology, tens, text, Than, that, that’s, The, The Future, their, There, there’s, These, they, think, this, this year, those, thousands, three, Through, throughout, time, times, titan, to, Today, together, told, tools, top, Transactions, Transform, tune, tuning, turn, two, types, Types Of Data, typically, understand, unique, unleash, Unlocking, up, up-to-date, upon, us, use, use case, Used, users, uses, using, value, variability, Various, Vast, ve, vector, View, vision, visual, VP, want, Warehouse, warehouses, was, way, ways, we, web, web services, week, WELL, went, What, When, where, Which?, while, WHO, Why, will, with, within, without, Woolworths, Work, worked, workflow, workflows, working, workloads, works, worry, write, writing, written, year, You, Your, your business, zephyrnet, zero... — Zephyrnet, 4d ago

Of course, you can’t spell “inevitable” without “A” and “I”, and that’s exactly what artificial intelligence has become. Each day it is becoming more impactful in both our personal and professional lives. In 2024 AI will continue expansion in the credit union industry through chatbots and other member service-focused features, allowing employees to concentrate on more complicated tasks. AI as a tool for sorting, analyzing, and interpreting data will help create a more accurate and seamless underwriting process. It will also be invaluable in terms of security as a countermeasure to increasingly sophisticated cyberthreats. — CUInsight, 4d ago

When it comes to advertising, your dollars can go to waste if you’re not targeting the right audience. But with AI, there are no such scopes to make this mistake because AI algorithms can process huge amounts of data and help derive insights about your audience including your audience behavior, demographics, preferences and interests. With all these insights, you can design highly personalized ads that would rightly cater to your ideal audience. — Techiexpert.com, 5d ago

All that said, if we look past 2024, most marketers are underestimating the absolutely transformational impact AI will have on go-to-market strategies and platforms. In the future, text-based conversational user interfaces will automatically identify the right audience for any campaign, eliminating the need for marketing operations expertise in data and complex segmentation rules. AI will also enhance the effectiveness of existing campaigns by streamlining A/B testing and segmentation, and will transform broadcast-like campaigns into engaging conversations, analyzing and reacting to user responses appropriately. — OpenView, 4d ago

...“AI technology plays a key role in enabling businesses to take a distinctive approach to strengthening their digital core. Italian organizations need to strategically invest in cloud, in the use of data and in AI to boost market competitiveness and to help improve the country’s technological capabilities. Ammagamma marks a crucial investment in Italian excellence that will allow us to create a specialist hub in Emilia-Romagna able to retain and attract talents that Accenture will involve in the innovation projects of leading Italian and international players.”... — ERP Today, 5d ago

Latest

In recent years, the healthcare industry has witnessed a significant growth in data volume compared to other sectors like manufacturing, financial services, media, and entertainment. By some estimates it now accounts for approximately 30% of the world's data volume, with an expected annual growth of 36%, by 2025. Alongside the growing availability of data, there is also an increased demand for its use. Healthcare data can be valuable for medical research purposes and pharmaceutical development, as well as the refinement of new artificial intelligence (AI) algorithms, and the operational improvement of healthcare providers. — Med-Tech Innovation, 5d ago

Human Oversight and Intervention: While AI can greatly enhance cybersecurity efforts, it's not a substitute for human expertise. Security teams should maintain an active role in monitoring and validating the decisions made by AI systems, as human intervention is essential in complex or novel situations. Additionally, security leaders must educate their teams on how to effectively use and understand AI systems to ensure that they are deployed correctly and that security teams can leverage the insights generated by these systems to make well-informed decisions. — TechRadar, 5d ago

The crucial step is to translate the data in this knowledge base into numerical representations using an embedded language model. Then, a vector database with fast and effective search capabilities is used to store these numerical representations. As soon as the generative AI system prompts, this database makes it possible to retrieve the most pertinent contextual information quickly. — MarkTechPost, 5d ago

CXOToday.com, 7d ago

How AI Accelerates the Circular Economy: The Synergy of AI and Circular Economy

techuk.org, 7d ago

Cisco study reveals major gaps in AI readiness both in the UK and around the world

techgig.com, 1d ago

new 6 Most common myths about AI you must know

siliconindia.com, 9d ago

Granica: Scale, Secure, and Optimize Training Data with Cutting-Edge Technology | SiliconIndia

Allied Market Research, 9d ago

Artificial Intelligence In BFSI Market Size & Growth 2032

Top

The measure targets many areas for concern surrounding AI, particularly in terms of civil rights, equity, and privacy. Increased emphasis is put on further developing privacy-preserving techniques like cryptography. Establishing a framework to tackle data breaches is critical to protecting the privacy of US citizens. This is particularly vital, given the risks associated with AI and the added incentives for companies to use data for training AI systems. — Energy Monitor, 26d ago

...5. Machine Learning- Machine learning is a field of AI that deals with the ability of computers to learn from data without being explicitly programmed. Machine learning can be used in AI thesis and research to develop new algorithms for a variety of AI tasks, such as classification, regression, and clustering. For example, machine learning research could be used to develop new algorithms for image classification that can better identify and classify objects in images and videos. Machine learning research could also be used to develop new algorithms for regression that can better predict continuous values, such as the price of a house or the number of customers who will visit a store on a given day. Additionally, machine learning research could be used to develop new algorithms for clustering that can better group similar data points together. — Analytics Insight, 28d ago

A report this week by the Australian Academy of Technological Sciences (ATSE) and the Australian Institute for Machine Learning (AIML) says it’s make or break time to embrace a responsible AI future. Speaking to the AusSMC earlier this week, AI experts presented the report findings, which include a compilation of never-before-published insights from 13 Australian AI leaders. “Just as the steam engine fundamentally changed the way that people lived and worked, AI is the steam engine of today, if you like,” says ATSE CEO, Kylie Walker. Australia not only has the expertise, the industry, and the stability to lead AI development, according to Walker, but also the governance in place to make sure it’s done responsibly and inclusively. But what does this mean? According to the report, there is a growing awareness that AI systems can carry the biases of their creators, as well as the data used to train them. This idea is echoed in recent research. — Cosmos, 9d ago

While transcripts of call recordings provide valuable data for AI to understand each customer's preferences, they often miss the emotional nuances of the conversation. This is where sentiment analysis comes into play. Utilizing machine learning, these systems can delve into voice recordings to identify cues that contribute to the success or failure of calls. Over time, AI becomes adept at offering better recommendations. For example, it can suggest adjustments to the call center script, tailoring product and service suggestions to individual customer needs and preferences, enhancing both customer satisfaction and call center efficiency. — unite.ai, 11d ago

The ability to learn from the growing archives of past weather data is a key advantage of AI models. “This has potential to improve forecast accuracy by capturing patterns and scales in the data which are not easily represented in explicit equations,” the authors, who developed the model, wrote in the study. — techregister.co.uk, 19d ago

...“In a tech landscape abuzz with the potential of generative AI, understanding its power and pitfalls is a must. Organizations across every vertical are looking into how to leverage this technology to get ahead or simply ensure they can keep up with the latest and greatest advancements. Rushing implementation and forgoing the necessary learning process isn’t going to be worth the investment. A thoughtful, concerted approach that is rooted in data is essential for generative AI. To truly reap the advantages of AI investments, organizations must take a close look at their data strategy and ensure they are prepared for success. If using it to solve specific business problems is the goal, it’s key to consider how the training process for those models is done and examine the underlying foundation of data that you’re supplying in order to get the result you need. — insideBIGDATA, 11d ago

Latest

Zephyrnet, 1d ago

new Top 15 Vector Databases That You Must Try In 2024 - Plato Data Intelligence

Techiexpert.com, 9d ago

AI and Data Privacy Compliance in eDiscovery: A Winning Combination

Dynamic Business, 11d ago

SME face increased threats from AI-enhanced fraud these holidays

Montreal AI Ethics Institute, 1d ago

new LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models | Montreal AI Ethics Institute

Analytics Insight, 12d ago

The Role of Enterprise AI in Data Driven Analytics By Balaji Krishnamoorthy, EVP Findability Sciences

E-Crypto News - Exclusive Cryptocurrency and Blockchain News Portal, 13d ago

What Is Sentient AI And Will It Become Real? - E-Crypto News

The Cyber Security News, 12d ago

AI Solutions Are the New Shadow IT | The Cyber Security News

IO, 2d ago

new How AI is crafting our culinary future

Latest

It is impossible to detect change at the individual field level cost effectively, so many companies in this space, including Boomitra, Indigo Ag and Regrow, use AI modelling to estimate carbon sequestration, aggregating data from thousands of fields. There are different mechanisms to handle the statistical uncertainty in modelling of this kind. Verra’s recommendation – VM0042 – was developed by Indigo Ag and Terra carbon, both soil carbon companies themselves. However, they work primarily with North American farmers, who farm large tracts of land, so the mechanism is ill-suited to measuring soil carbon sequestration across multiple small farms. — Verdict, 5d ago

Generative AI chat applications have captured the public’s imagination and helped people understand what is possible, but there are still barriers that prevent people from using these solutions at work. Specifically, these chat applications do not know an organisation’s business, data, customers, operations, or employees. Additionally, these solutions were not initially built with the security and privacy features that organisations need for employees to safely use them in their day-to-day work. This has led to companies adding these features to their assistants after they were built, which does not work as well as incorporating security into the assistant’s fundamental design. — technologymagazine.com, 5d ago

Shortcut Learning - ML and deep learning can cause unpredictable errors when facing situations that differ from the training data. This is because such systems are susceptible to shortcut learning; statistical associations in the training data allow the model to produce correct answers for the wrong reasons. Machine learning, neural nets, and deep learning do not teach concepts; instead, they teach shortcuts to connect responses to the training set and apply statistical associations and probability assumptions to produce correct answers without cognition of the intended query. Another study showed that “an AI system that attained human-level performance on a benchmark for assessing reasoning abilities relied on the fact that the correct answers were (unintentionally) more likely statistically to contain certain keywords. For example, answer choices containing the word ‘not’ were more likely to be correct “... — diginomica, 5d ago

Amazon Q, a new generative AI–powered assistant that is specifically designed for work and can be tailored to your business to have conversations, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories, code, and enterprise systems. — DEV Community, 5d ago

Furthermore, such access improves understanding of what PII may be found in unstructured data, which is critical from a data privacy and security perspective. Large language models (LLMs) can be leveraged to identify PII and sensitive content, in turn supporting a company’s privacy compliance efforts. Enabling LLMs to identify/tag PII throughout a company’s system will support a meaningful data governance program – along with confirming compliance as the privacy regulatory landscape continues to fluctuate. — Infosecurity Magazine, 5d ago

Artificial intelligence has revolutionized tourist decision-making by shifting the focus from price considerations to personalized alternatives. Tourists can now choose destinations, places, and activities that best suit their preferences, thanks to AI’s implementation of personalization techniques and recommender systems. These systems leverage the vast quantity of information available on the internet, including User-Generated Content (UGC), to provide more tailored and informed experiences. Travel assistants that leverage advancements in artificial intelligence, mobile devices, natural language processing, and speech recognition have become increasingly popular. These applications are designed to cater to user preferences, interests, and availability, offering on-demand or autonomous suggestions that proactively anticipate their needsvand they enhance the travel experience through personalized and intuitive assistance. These systems leverage the vast quantity of information available on the internet, including User-Generated Content (UGC), to provide more tailored and informed experiences. ServiceNow leverages generative AI to provide relevant, direct and conversational responses, seamlessly connecting interactions to digital workflows across the Now Platform. For example, when users inquire through Now Assist for Virtual Agent, generative AI quickly provides concise answers, supplying information such as internal codes for product and engineering teams, product media, document links, or relevant knowledge base article summaries. This ensures accurate conversations across departments and systems, improving productivity, boosting self-solve rates, and expediting issue resolution within ServiceNow. In today’s technology-driven era, the increasing AI footprint in the hospitality industry is a positive development. — DATAQUEST, 5d ago

Top

...a, About, accelerate, accountability, accuracy, accurate, actors, address, adhering, advanced, Advancement, advice, AI, AI applications, AI model, AI models, AI right, AI systems, algorithms, All, almost, also, amp, an, and, announced, appearance, appears, applications, appropriate, ARE, around, Artificial, artificial intelligence, AS, At, Author, authors, Award, award winning, aware, Bad, bad actors, basic, basis, BE, because, become, believes, bias, biased, Bill, Bill & Melinda Gates Foundation, BLAZING, Books, Boost, bottom, Bottom Line, breach, break, breakthroughs, build, Building, Built, bullying, business, But, buyers, by, calling, calls, CAN, can help, capability, ceo, chance, change, Changed, Coherent, Collecting, collection, collects, colossal, come, coming, commission, commonly, community, Companies, Compensation, comply, concerns, confidence, confirm, consent, Consequently, Consider, consumed, content, contextually, control, copyright, copyright infringement, copyrighted, Core, could, Creating, creation, creations, creator, Creators, data, data collection, data privacy, data privacy regulations, data security, deep, deepfake, deepfakes, default, Defense, definition, democratize, deployed, describes, deserves, designed, developers, developing, difficult, digital, digital content, Digital Transformation, digitally, direction, discuss, discussed, displacement, Does, double, doubtful, echo, Election, Elections, Elon, Elon Musk, email, email address, emerge, emerging, emphasizes, engine, Engineering, ensure, Era, ethical, everyone, Everything, exacerbated, existed, existing, experts, expressed, Face, facial, facial recognition, Factual, fair, fake, Fall, Famous, FAR, FAST, fear, few, filters, fine, fined, Fire, fit, For, foresee, Foundation, fractional, Framework, frameworks, fraud, from, further, future, future of work, Gates, Gates Foundation, generate, generated, generation., generative, Generative AI, Get, given, Go, GOES, great, guards, guiding, hallucination, harmful, Have, Health, healthcare, Healthcare Sector, Help, help you, hidden, High, high-risk, highlighting, highly, How, However, if, image, images, Impact, implications, important, in, incorrect, increasingly, industry, industry experts, information, Infringement, initiatives, INJECTION, Innovation, Intelligence, intends, intent, interact, interested, internal, International, Internet, intersection, into, irrelevant, Is, issued, IT, Italy, ITS, Japan, Jargon, Job, journal, KDnuggets, Key, lack, lacks, land, landscape, language, large, latest, Latest News, launch, Layers, lead, leader, Leaders, leading, leads, learning, Led, Legal, less, LeT, Life, like, likely, Line, Lines, Long, Look, look like, looming, machine, machine learning, machine learning models, magic, make, manipulation, mark, mass, matching, material, Matter, May, McKinsey, medical, melinda gates, methods, Microsoft, Might, minimum, Misinformation, misleading, Mission, mode, model, models, months, more, most, Motive, Much, multiple, Music, musk, Name, necessary, Need, network, Neural, neural network, new, news, Next, no, noah, Now, obtaining, of, on, ONE, ones, only, operation, Opportunity, or, organizations, original, our, out, outcomes, output, outputs, Over, part, patient, pause, payment, permission, personal, personal data, personal information, personalities, platform, plato, Plato Data Intelligence, PlatoData, political, post, potentially, pre, Predictions, prevalent, prey, principles, prioritizing, privacy, Privacy Breach, privacy regulations, Process, produce, Product, Products, Progress, progressing, prominent, prompt, prompt injection, prompts, Prosperous, protect, protection, prowess, purposes, Question, questions, quickly, Race, raise, raises, rate, rather, Reading, receive, Recent, recently, recognition, regulations, RELATED, relief, repercussions, replace, report, requires, researchers, response, responses, responsibility, responsible, result, retain, Right, rights, Risk, riskier, risks, Russell, s, Scalable, Scale, SCIENCES, scientific, scraping, Search, search engine, Sector, security, see, sentiment, separate, serious, severely, shared, she, Short, shown, Shows, significant, situation, skeptical, skills, So, so Far, some, something, source, sources, Speaker, Spiral, spreads, start, States, stay, stems, steve, Steve Wozniak, storage, Strategist, Structural, successful, Such, survive, suspicious, sword, Synthetic, Systems, Take, taking, TechCrunch, Technological, technological advancement, Technology, text, Than, that, The, The Bottom Line, The Future, The Future of Work, the one, their, then, There, These, they, think, this, those, Thrive, Through, time, times, to, together, tool, top, topic, train, Trained, Training, Transformation, Transparency, transparent, trouble, true, Trust, tuned, turn, underlying, understand, Understanding, Upcoming, us, Used, users, using, Utilization, value, Various, Video, Videos, Warning, was, ways, we, WELL, What, When, where, Which?, while, whose, will, winning, with, withdrawal, without, wondering, words, Work, working, workings, works, world, worldwide, wozniak, Wrong, Yoshua Bengio, You, Your, yourself, Yuval Noah Harari, zephyrnet... — Zephyrnet, 26d ago

...“Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert system, natural language processing, speech recognition and machine vision. In general, AI systems work by ingesting large amounts of labelled training data, analysing the data for correlations and patterns, and using these patterns to make predictions about future states.” – t echtarget.com. — jamaica-gleaner.com, 15d ago

The development of a robust technology infrastructure is a fundamental foundation in the application of Artificial Intelligence (AI). This infrastructure includes improving internet networks, developing data centers, and developing cloud computing platforms. Fast and stable internet connectivity is essential to support AI operations, especially in machine learning processes and data analytics. Without reliable data access, AI’s ability to process large amounts of information will be hindered, reducing its effectiveness. — Modern Diplomacy, 15d ago

SD Times, 17d ago

Databricks reveals its Data Intelligence Platform - SD Times

Telecom Review, 17d ago

Telecom Review Panel on 5G: Minimizing Downtime and Optimizing Experie

Zephyrnet, 17d ago

Unlocking The Power Of AI: Reshaping Financial Services - Plato Data Intelligence

COMMUNIA Association, 27d ago

The transparency provision in the AI Act: What needs to happen after the 4th trilogue?

The Thomas B. Fordham Institute, 18d ago

Robot teachers