new Breaking down silos is only possible when leaders focus on cross-functional collaboration, particular in response to organisational change. Building a strong, collective approach to people development is a key way to make this a reality – ensuring employees are adequately prepared for any changes that come their way by working together with new colleagues and developing an understanding of each person’s unique skill set. Even amid organisational shifts, such as the adoption of generative AI, setting a firm foundation for effective collaboration will help a business move through any challenging periods with agility. — The European Business Review, 15h ago

new The intent of AI is to enable computers to perform tasks that normally require human intelligence, as such AI will evolve to take many jobs once performed by humans. When I started in AI in the late 1980’s and through the late 1990’s, AI was identified as a multidisciplinary science, which included expert systems, neural networks, robotics, Natural Language Processing (NLP), Speech Recognition and Vision. This multidisciplinary aspect of AI enabled AI to make inroads into industries such as healthcare, automotive, manufacturing, and the military. — Thinkers360 | World’s First Open Platform For Thought Leaders, 13h ago

new Five new capabilities within Amazon SageMaker to help accelerate the building, training, and deployment of large language models and other foundation models. The announcements include a new capability that enhances SageMaker for scaling models by accelerating model training time. Another new SageMaker capability optimizes managed ML infrastructure operations by reducing deployment costs and latency of models. AWS also introduced a new SageMaker Clarify capability that makes it easier to select the right model based on parameters that support the responsible use of AI. To help customers apply these models across organizations, AWS also introduced a new no-code capability in SageMaker Canvas that makes it faster and easier for customers to prepare data using natural-language instructions. — RTInsights, 14h ago

new One of the most important things that security leaders and the broader executive suite must keep in mind is that AI risk management isn't going to be a compliance exercise. None of these policies are a magic wand, and at the end of the day enterprise culture is going to have to become more collaborative and decisive in how they make AI risk decisions. — darkreading.com, 17h ago

new These new, dynamic features within LinkedIn's Sales Navigator are definitely game-changers for building professional relationships. Depending on your specific marketing focus, the value of them to you may vary but they are guaranteed to provide you with more tools to maintain meaningful connections, enhance engagement, and build your network. LinkedIn's continued commitment to AI-driven tools is exciting and it's making relationship-building more efficient and effective than ever before. — vulse.co, 1d ago

new As Raimondo advocates for increased funding to fortify export controls on AI chips, the question that lingers is whether this financial infusion will be sufficient to counter China’s relentless pursuit of cutting-edge semiconductor technology. In an era where national security is intricately linked with technological supremacy, the decisions made today will shape the future balance of power. Can increased funding truly safeguard the nation’s technological edge, or does it merely represent a temporary barrier in an ever-evolving global landscape? As nations grapple for dominance in the AI arena, only time will reveal the efficacy of these strategic moves and their impact on the delicate balance of international relations. — BitcoinEthereumNews.com, 1d ago

new Likewise, in surgical domains, including the intricate field of spine surgery, a notable advancement is the introduction of robotic assistants, designed to work alongside surgeons in spine surgery, says Dr S. Vidyadhara, chairman and head, spine surgery, and consultant, robotic spine surgery, Manipal Hospital Old Airport Road. When combined with augmented reality, the CT/MRI images can be superimposed real time during the surgery, providing surgeons with an in-depth 3D view of the surgical site and thus enhancing their ability to make informed decisions. “This is being used in complex cancer surgeries, where the tumour is hidden inside the organ. With the help of AI, a surgeon can get the clear picture and feedback about the clear margins of the cancerous tumour to be removed,”says Dr Saurabh Patil, consultant urologist and robotic surgeon, Fortis Hospital, Mumbai. “AI also helps in the training of new surgeons by comparing the steps by expert surgeons and providing real-time feedback to a novice surgeon.”... — theweek.in, 1d ago

new ...“In order to capitalize on the potential of AI, and perhaps particularly GenAI in the near term, organizations need to be clearer about how they organize and provide continual validation for their supply chain data. There are very interesting and emerging opportunities to point ML (machine learning) solutions at the foundational problems of data availability and quality, and I think leaders who foster technology enablement for data governance within their supply chain will be best situated to realize further productivity gains through more exact and precise decision making (improving decision quality).” – Caleb Thomson, senior director analyst, Gartner Supply Chain practice... — Connected World - IoT and Digital Transformation, 1d ago

new At Oracle NetSuite, we are heavily investing in the user experience to make it natural and intuitive. Our user interface, built upon Oracle’s Redwood Design System, aims to simplify interactions and minimize the need for extensive training. It’s designed to be purpose-built for specific workflows, resembling a conversation with an intelligent assistant. Our goal is to make AI feel like a seamless part of the user’s experience, guiding, advising, and assisting users based on their needs and preferences. We have long aimed for intelligent assistance in Oracle NetSuite, and it’s now within reach thanks to advanced technology. — DATAQUEST, 2d ago

new Artificial intelligence (AI) is at the forefront of boosting efficiency. AI systems can analyze large datasets, automate routine tasks, and even make predictive analyses, saving time and reducing the potential for human error. — Techiexpert.com, 2d ago

new Finally, viewing programming broadly as the act of making a computer carry out the behaviors that you want it to carry out suggests that, at the end of the day, you can’t replace the individuals deciding what those behaviors ought to be. That is, generative AI could help express your desired behaviors more directly in a form that typical computers can carry out. But it can’t pick the goal for you. And the broader the array of people who can decide on goals, the better and more representative computing will become. — Popular Science, 1d ago

new AI is not built to understand human moral values, which could lead to morally flawed healthcare practices. Machine learning is built on the data and processes currently in place, which have been built by humans with a variety of beliefs and biases. This can translate into biased AI databases, resulting in automated gender, ethnicity, or socioeconomic discrimination. President Biden’s executive order includes several directives aimed at preventing algorithmic discrimination. — Healthcare Business Today, 2d ago

new It seems to me that, on the authors’ view, an important input to “human alignment” is the environment that we’re trained in (rather than details of our brain’s reward circuitry, which is probably very simple). It doesn’t seem to me that environmental factors that make humans aligned (with each other) should generalize to make AI systems aligned (with humans). — alignmentforum.org, 2d ago

new Kennedy School Adjunct Lecturer in Public Policy Bruce Schneier says artificial intelligence has the potential to transform the democratic process in ways that could be good, bad, and potentially mind-boggling. The important thing, he says, will be to use regulation and other tools to make sure that AI tools are working for everyone, and just not for Big Tech companies—a hard lesson we’ve already learned through our experience about social media and other tech tools. — harvard.edu, 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 The dream of autonomous driving is rapidly becoming a reality, thanks to AI-powered systems that can perceive the environment, make decisions, and control vehicles. Data collected from sensors, cameras, and Lidar feed into AI algorithms, enabling self-driving cars to navigate complex urban environments and highways. The industry is heavily reliant on data to fine-tune these systems, with real-world testing providing crucial insights. — Zephyrnet, 2d ago

new California’s report also usefully lays out the potential risks associated with using these new tools, making clear that while there are some new potential harms, in many cases many of the risks are common to the use of any technology. Governments need to be conscious of the fact that tools that enable the easy generation of high-quality content could be misused to dupe consumers and residents.Perhaps because 35 of the 50 leading AI businesses are in California, as the state's report points out at the outset, it is silent on the risks to governments and those they serve of relying excessively on technologies developed and governed by unaccountable companies, especially when those technologies are procured by public servants without a deep knowledge of the tech. — GovTech, 2d ago

new The success of ChatGPT speaks foremost to the power of a good interface. AI has already been part of countless everyday products for well over a decade, from Spotify and Netflix to Facebook and Google Maps. The first version of GPT, the AI model that powers ChatGPT, dates back to 2018. And even OpenAI’s other products, such as DALL-E, did not make the waves that ChatGPT did immediately upon its release. It was the chat-based interface that set off AI’s breakout year.There is something uniquely beguiling about chat. Humans are endowed with language, and conversation is a primary way people interact with each other and infer intelligence. A chat-based interface is a natural mode for interaction and a way for people to experience the “intelligence” of an AI system. The phenomenal success of ChatGPT shows again that user interfaces drive widespread adoption of technology, from the Macintosh to web browsers and the iPhone. Design makes the difference.At the same time, one of the technology’s principal strengths – generating convincing language – makes it well suited for producing false or misleading information. ChatGPT and other generative AI systems make it easier for criminals and propagandists to prey on human vulnerabilities. The potential of the technology to boost fraud and misinformation is one of the key rationales for regulating AI.Amid the real promises and perils of generative AI, the technology has also provided another case study in the power of hype. This year has brought no shortage of articles on how AI is going to transform every aspect of society and how the proliferation of the technology is inevitable.ChatGPT is not the first technology to be hyped as “the next big thing,” but it is perhaps unique in simultaneously being hyped as an existential risk. Numerous tech titans and even some AI researchers have warned about the risk of superintelligent AI systems emerging and wiping out humanity, though I believe that these fears are far-fetched.The media environment favors hype, and the current venture funding climate further fuels AI hype in particular. Playing to people’s hopes and fears is a recipe for anxiety with none of the ingredients for wise decision making. — GovTech, 2d ago

new We believe in multiple brands as well. So not just swim lanes, but also you should keep your brand and agency brand. I believe that on every single level, decisions should be made locally. When I say support from the bottom, I also mean we’re trying to build technology. We’re trying to build capabilities around people and other things as well, that we give to the agencies. Even all the other AI work we are doing and technology work has started in an agency, and we will fund it like a startup team and give them some money. — Digiday, 2d ago

new KAREN HAO: Absolutely. So one of the things to sort of understand about AI research in general is AI is not actually new. It's been around since the '50s, and it was originally an academic field that then tech giants in Silicon Valley started seeing massive commercial potential for, and so they kind of plucked this technology out of the scientific academic realm and then tried to start deploying it into products. And the thing that's happened in the last decade in particular is that there's been an enormous shift in the field where because tech giants have realized that this technology can be very, very lucrative, Google and Facebook, they use it for things like ad targeting. They have increasingly pulled more and more researchers from the academic field, from universities into their corporations to develop this technology, not for scientific discovery, not for any goal other than specifically that they would like to commercialize and continue to make more money. So the reason why OpenAI was founded as a nonprofit, I- the story goes that Elon Musk in particular was very worried about Google because Google had been early, an early mover in recognizing the commercial potential of AI, started building this really big lab and kind of poaching all of the top talent from all around the world and trying to basically establish a stronghold in AI leadership. And Elon Musk felt that this was not the appropriate way to develop AI because AI could be very beneficial for many different things, not just for commercial products. And that actually, if the development of AI were attached to commercialization, it could in fact also be harmful because of things that we were already sort of starting to see at the time around social media and sort of for-profit incentives corrupting the use of a powerful technology. And so that was ultimately the vision this, this nonprofit vision. But the thing that sort of thwarted, I guess this vision is the fact that when OpenAI went to hire its first founding team- its founding team had 10 members- they specifically brought on this researcher called Ilya Sutskever, who is now OpenAI's chief scientist. At the time, he was at Google and he already had a very prestigious reputation. He was the co-author of a groundbreaking AI research paper that had actually sparked a lot of the commercialization efforts around this technology. And when they brought him on Ilya Sutskever had a very particular philosophy around AI research, which was that in order to see the full potential of this technology, we need to scale it dramatically. So there were sort of different competing philosophies at the time. Do we actually have the techniques for AI, advanced AI or do we actually need to create more techniques? And he thought we have it, we just have to sort of explode the scale, feed evermore data, evermore computer chips into these AI models and that's when we'll start seeing real emergent intelligent behaviors in these digital technologies. So when he made that decision and when OpenAI set on that path, that's when they started running into financial issues and realized the nonprofit was no longer viable. — Big Think, 2d ago

new ...1, 2022, 31, a, able, About, access, activities, adopting, africa, agreements, AI, AI Enterprise, AI model, AI models, aims, All, already, also, Although, an, analytics, and, announced, another, appearance, ARE, ARM, AS, At, attention, Away, back, barcelona, based, BE, because, before, being, believe, believes, better, Betting, BIG, big tech, bigger, Borrowing, both, brought, build, Building, business, businesses, But, buy, by, calls, came, CAN, Can Get, case, cases, caused, ceo, change, chatbot, chatbots, ChatGPT, claim, claiming, claims, Cloud, clouds, commentators, commonplace, Companies, company, Compute, computing, Consciousness, could, Cray, critical, customer, Customers, customization, data, datacenter, decision, decisions, declines, delivered, Dell, Demand, democratize, deploy, despite, differentiator, Director, discover, disruptive, Does, doesn, don, don't, done, Drive, Drop, drop in, drop in revenue, During, earlier, east, effort, EMEA, enabled, Enterprise, Enterprise Solution, enterprises, European, Event, Every, everyone, everyone's, Explain, explained, explosion, faster, followed, following, For, For You, Fore, Foundation, Foundations, from, fundamentally, future, generative, Generative AI, Get, given, Go, going, GPUs, greater, greater part, happens, Hardware, Have, having, he, Help, help you, Highlighted, hinges, his, horizon, How, However, HPE, huge, i, if, imagine, Impact, Improved, in, industry, inferencing, Inflection, Infrastructure, Instead, interest, Internet, into, investment, ireland, Is, isn, IT, ITS, joined, June, just, karl, Key, Keynote, language, language model, large, large language models, latter, launched, levels, Lifecycle, lifetime, like, Likewise, lives, lot, Made, make, maker, managing, managing director, many, Market, Match, matt, Matt Harris, Middle, Middle East, mine, model, models, moment, more, most, native, necessary, Need, needs, new, nodes, notably, Now, nvidia, of, on, OpenAI, operate, opportunities, or, Other, Others, our, OUR LIVES, out, Over, overstated, Own, owning, part, particular, percent, pervasive, phrase, pick, Pieces, pitching, pivotal, platform, Platforms, plato, Plato Data Intelligence, PlatoData, play, Plus, point, potential, pre, predict, Predictive, predictive analytics, pretty, previous, probably, problems, Process, processing, promise, public, Puzzle, quarters, queries, Question, ready, real, Recent, relevant, Remain, remaining, reported, represents, Requirements, Resources, response, revenue, rivals, role, s, Said, same, says, Search, seen, sees, sell, Service, shook, shot, side, smaller, So, Software, solution, SOLVE, some, Someone, somewhere, specialized, spend, Stage, Startups, statements, Strategy, Such, Suite, Supercomputing, supplier, supply, support, Systems, T, talking, tech, Technology, that, The, The Future, their, These, they, thing, think, this, this year, thought, Through, time, to, train, Trained, Training, Trends, tune, tuning, turn, two, Uk, ultimately, up, usage, use, users, using, ve, Via, VP, was, way, week, What, When, where, Which?, will, with, Work, year, years, You, zephyrnet... — Zephyrnet, 2d ago