new ..."Companies across industries are being tasked to quickly identify the ways in which to implement AI to improve efficiency and experience for both internal and external business processes," said Lanham Napier, President and Chairman of Amelia. "Research organisations such as Everest Group are an essential part of the process, evaluating technology providers based on real-world implementations to help guide decision makers on which vendors can deliver on their specific needs. Amelia is proud to be recognised as a top AI provider within what has become a very crowded industry."... — IT Brief New Zealand, 8h ago

new At its heart, Intelligence for Good empowers purpose-driven companies and organizations to supercharge their social impact efforts with a set of complete, ready-made solutions that address their specific challenges by making both daily operations and longer-term strategic planning more efficient and effective. It will also help level the playing field, making ethical AI accessible to more companies and organizations of all sizes. — Fortune, 8h ago

new Download Free Sample of Report - https://www.globalinsightservices.com/request-sample/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023Security scanning equipment is typically composed of several components including scanners, detectors, and monitors. Scanners are used to detect and identify potential threats, such as malware and viruses. Detectors are used to look for signs of malicious activity, such as unauthorized access to a system or network. Monitors are used to constantly monitor for suspicious activity and alert administrators of any potential threats.Security scanning equipment is essential for any organization that wants to protect its data and systems. It helps organizations detect malicious activity and respond quickly to potential threats. It also helps to reduce the risk of data breaches and other security incidents. Security scanning equipment is an important part of any security strategy and should be implemented in order to ensure the safety and security of an organization's data and systems.Key TrendsSecurity scanning equipment is a broad term that encompasses a wide variety of devices used to detect, identify, and prevent security threats. The technology has been evolving rapidly in recent years, as organizations strive to keep up with the ever-changing security landscape. In this article, we will discuss some of the key trends in security scanning equipment technology.First, the use of biometrics is becoming increasingly popular. Biometric authentication is a process whereby a person's physical characteristics, such as a fingerprint or iris scan, are used to authenticate their identity. This technology is becoming more common in many industries, and is being used to secure areas, as well as to verify transactions.Second, the use of facial recognition technology is also growing. This technology uses facial recognition algorithms to identify individuals and can be used for a variety of security purposes. It is becoming increasingly common in public places, such as airports and stadiums, as well as in corporate environments.Third, the use of artificial intelligence (AI) is becoming more prevalent in security scanning equipment technology. AI can be used to identify and alert security personnel to potential threats before they occur. It can also be used to analyze large amounts of data quickly and accurately, allowing for better decision-making and faster response times.Finally, the use of cloud-based security scanning solutions is becoming more popular. With cloud-based security solutions, organizations can access their security systems from anywhere in the world. This allows for greater flexibility and scalability, as well as faster response times.These are just some of the key trends in security scanning equipment technology. As the security landscape continues to evolve, organizations must continue to stay ahead of the curve by using the latest technology available to them. By doing so, they can ensure that their security systems are up to date and can effectively protect their organization from any potential threats.Key DriversSecurity Scanning Equipment Market is driven by the increasing need for security and surveillance in the public and private sector. The rising number of threats to national security, as well as the need for quick and accurate detection of potential threats has created a strong demand for security scanning equipment. As a result, the market has seen a steady growth over the past few years.The first key driver of the security scanning equipment market is the government's increased focus on security. Governments around the world are investing heavily in security measures, and this includes the procurement of scanning equipment. This is especially true in developed countries, where governments have implemented stringent security measures to protect their citizens. For instance, the United States has adopted a see something, say something approach to security, which requires citizens to report any suspicious activity to law enforcement. As a result, the demand for security scanning equipment has increased significantly.Report Overview- https://www.globalinsightservices.com/reports/security-scanning-equipment-market/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023The second key driver of the security scanning equipment market is the rise of terrorist activities. Terrorists have become increasingly sophisticated in their use of technology to carry out their attacks. As a result, governments and private companies are investing heavily in the development of advanced scanning equipment to detect and prevent these attacks. This has led to a strong demand for security scanning equipment, as these devices are able to detect and identify potential threats quickly and accurately.The third key driver of the security scanning equipment market is the development of new technologies. Advances in technology have enabled the development of advanced scanning equipment, which has made it easier to detect and identify potential threats. For instance, the use of 3D imaging technology has enabled the development of devices that can detect objects hidden within walls and other structures. This has made it easier for law enforcement and private companies to detect and identify potential threats quickly and accurately.The fourth key driver of the security scanning equipment market is the increasing demand for safety and security in public spaces. With the recent increase in mass shootings and other public safety incidents, governments and private companies are investing heavily in the development of advanced scanning equipment to detect and prevent these incidents. This has led to a strong demand for security scanning equipment, as these devices are able to detect and identify potential threats quickly and accurately.Get a customized scope to match your need, ask an expert - https://www.globalinsightservices.com/request-customization/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023Finally, the fifth key driver of the security scanning equipment market is the increasing use of biometric technologies. Biometric technologies allow for the identification of individuals through their unique physical characteristics. This has made it easier for law enforcement and private companies to identify potential threats quickly and accurately. As a result, the demand for security scanning equipment has increased significantly.Market SegmentationThe Security Scanning Equipment Market is segmented into Detection Technology, Application, End User, and Region. On the basis of Detection Technology, the Security Scanning Equipment Market is segmented into X-ray, CT-based, Neutron Sensing and Detection, and Others Detection Technologies. Based on Application, the market is bifurcated into Mail and Parcel and Baggage Scanning. Based on End User, the market is segmented into Airports, Ports and Borders, and Defense. Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the World. Key PlayersSome of the key players of Security Scanning Equipment Market are Smiths Detection Inc. (UK), Leidos Holdings Inc. (US), OSI Systems Inc. (US), 3DX-Ray Ltd (US), Teledyne ICM SA (US), Analogic Corporation (US), Nuctech Company Limited (China), Astrophysics Inc. (US), CEIA SpA (Italy), and Gilardoni SpA (Italy). Buy Now - https://www.globalinsightservices.com/checkout/single_user/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023With Global Insight Services, you receive:10-year forecast to help you make strategic decisions... — openPR.com, 15h ago

new Consider adding AI to the table. One of the most contentious project activities is the prioritization and approval of projects and portfolios. After all, projects and portfolios can represent significant resource commitments. With limited resources, there will be winners and losers in organizations, and organizational politics almost always comes into play. Perhaps organizations should invite AI to the table and become one of many evaluators and decision makers. By giving all people an equal role in shaping the data and analytics, AI can be a reasonably unbiased analyzer of project attractiveness. This can lead to less political infighting and more time to develop algorithms that best advance an organization’s decision making process. — Healthcare Business Today, 1d ago

new Some assume AI can replicate human intuition entirely. Human intuition involves complex, often subconscious processes that AI struggles to emulate fully. It may assist decision-making but doesn't replace innate human intuition. — techgig.com, 1d ago

new The primary concern with generative AI revolves around its decision-making process. Since AI systems learn from existing data, there's a risk of inheriting biased or flawed logic. This necessitates stringent checks and balances to ensure AI systems operate fairly and accurately, adhering to all regulatory standards. — WriteUpCafe.com, 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 In the ever-evolving landscape of health care, AI shows immense promise. AI refers to computer systems that mimic human cognitive functions such as learning and problem-solving, which can be performed with or without human supervision. From diagnostics to surgical precision, it is catalysing a transformation across the entire spectrum of medical care. Machine learning (ML) is a subfield of AI that enables machines to learn and make predictions by recognising patterns to support rational human decision-making and it is increasingly being applied to medicine. Deep learning, meanwhile, is a method in AI that teaches computers to process data in a way that is inspired by the human brain. Deep learning models can recognise complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions. — theweek.in, 1d ago

new The findings from this study are crucial for academia and go well beyond that, touching the critical realm of AI Ethics and safety. The study sheds light on the Confidence-Competence Gap, highlighting the risks involved in relying solely on the self-assessed confidence of LLMs, especially in critical applications such as healthcare, the legal system, and emergency response. Trusting these AI systems without scrutiny can lead to severe consequences, as we learned from the study that LLMs make mistakes and still stay confident, which presents us with significant challenges in critical applications. Although the study offers a broader perspective, it suggests that we dive deeper into how AI performs in specific domains with critical applications. By doing so, we can enhance the reliability and fairness of AI when it comes to aiding us in critical decision-making. This study underscores the need for more focused research in these specific domains. This is crucial for advancing AI safety and reducing biases in AI-driven decision-making processes, fostering a more responsible and ethically grounded integration of AI in real-world scenarios. — Montreal AI Ethics Institute, 1d ago

new Chief Compliance Officer and Legal/Compliance Teams: This individual or group of individuals keeps up with international, national, regional, industry-specific, and other regulations that may impact how your organization can use data — including PII and intellectual property — and AI models. If a chief ethics officer works among this team, this work may go beyond simple compliance management and move toward setting up ethical decision-making and training frameworks. — eWEEK, 1d ago

new Commenting on this announcement, Vikram Bhandari, Founder, and CEO, of Yantra, said, “Businesses are increasingly adopting cloud platforms, and we believe that integrating generative AI will bring automation of repetitive tasks, data-informed decision-making, and enhanced efficiency. GenAI will benefit large corporations and SMEs, across various industries and verticals like finance and accounting, HR, supply chain and operations, sales and marketing, and customer support. Our significant investment in India’s GenAI space aligns seamlessly with our vision for growth, reinforcing our position as industry leaders committed to pushing boundaries and setting new benchmarks. To support this initiative, we aim to attract, recruit, and train top talent in the Indian job market by providing a platform for young, innovative minds.”... — CXOToday.com, 2d ago

new Synthetic intelligence (AI) continues to rework how companies perform by streamlining processes, rising effectivity and lowering prices. By leveraging AI, companies can automate repetitive duties to release their workforce, scale back errors and enhance decision-making. A hybrid cloud setting varieties a important basis for AI capabilities, together with generative AI, which has develop into a high precedence for enterprises worldwide. — BlaQue Crypto News, 2d ago

new In our lead article, Stanford’s Erik Brynjolfsson and Gabriel Unger­­ sketch two wildly different potential outcomes (beneficial or detrimental) for AI’s effect on each of three important facets of the economy—productivity growth, income inequality, and industrial concentration (the collective market share of the largest firms in a sector). The future that emerges will be a consequence of many things, including technological and policy decisions made today, they note. — interest.co.nz, 2d ago

new ...“The Gospels” system represents a notable leap in warfare technology. Utilizing real-time intelligence, this AI-enhanced system rapidly generates targeting recommendations, which human analysts scrutinize. Integrating AI into the IDF’s operations streamlines the decision-making process in high-stakes scenarios, ostensibly enhancing precision and reducing collateral damage. — BitcoinEthereumNews.com, 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 KAREN HAO: I wanna start by unpacking the word "safety" first. And I know we've sort of been talking about a lot of different words with squishy definitions, but safety is another one of those where AI safety as OpenAI defines it, is kind of different from what we would typically think around like engineering safety. You know, there, there have been other disciplines, you know, like when we talk about a bridge being safe, it means that it holds up and it works and it resists kind of collapsing under the weight of a normal volume of traffic or even like a massive volume of traffic. With AI safety, the brand of OpenAI's AI safety, they- it is more related to this, this kind of extreme risk they have. Again, they have started adopting more of this like also focusing on current harms like discrimination, but it is primarily focused on these extreme risks. So the question I guess to to kind of reiterate is sort of like will OpenAI continue to focus on research that is very heavily indexed on extreme risks? I think so, but how are they going to change the structure to make sure that these ideological clashes don't happen again? I don't actually think that's possible, and I also think that part of what we learned from this weekend is that we shouldn't actually be waiting for OpenAI to do something about this. There will always be ideological struggles again because of this fundamental problem that we have, which is that no one knows what AGI is, no one agrees with what it is. It's all a projection of your own ideology, your own beliefs and the AI research talent pool and the broader Silicon Valley talent pool of engineers, product managers, all of those people are also ideologically split on these kind of techno-optimist versus existential-risk divides. So the, even if you try to restructure or rehire or shuffle things around, you're always going to kind of get an encapsulation of this full range of ideological beliefs within the company, and you're going to end up with these battles because of disagreements around what is actually- what are we actually working on and how do we actually get there. So I personally think that one of the biggest lessons to take away is for policymakers and for other members of the general public and consumers to recognize that this company and this technology is very much made by people. It's very much the product of conscious decisions and, and an imprint of very specific ideologies. And if we actually want to facilitate a better future with better AI technologies and AI technologies that are also applied in better ways, and it's actually up to much more than OpenAI it's up to policymakers to regulate the company, it's up to consumers to make decisions that kind of financially pressure the company to continue moving towards directions that we collectively as a society believe are more appropriate. And ultimately what this boils down to is I think like AI is such an important technology and so consequential for everyone that it needs to have more democratic processes around its development and its governance. We can't really rely on a company or a board that is, you know, tiny to represent the interests of all of humanity. — Big Think, 2d ago

new According to the Israeli Defense Forces, “Habsora” purportedly can use AI and “rapid and automatic extraction of updated intelligence” to generate recommended targets. Targeting systems that employ automated decision-making and AI technologies present serious concerns and are part of a worrying trend toward the deployment of autonomous weapons systems. — Stop Killer Robots, 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 Mike Leone, principal analyst at Enterprise Strategy Group, said: “The end goal for organizations is to scale the use of AI. Scale data-driven decision making. Empower more stakeholders. Enable more complex analytical and predictive models. And it’s putting pressure on existing data systems. Data growth, analytical/application complexity and data movement will require organizations to rethink their data infrastructures when AI scale challenges and bottlenecks arrive. Voltron Data is solely focused on delivering a scalable data engine that unifies hardware, languages and frameworks to solve the eventual scale problem that organizations definitively will hit with existing data platforms.”... — Datanami, 2d ago

new Many of the examples of Amazon Q described by Selipsky and others throughout the conference were targeted at software developers and other types of IT professionals. Using Amazon Q, customers can ask questions to learn about AWS capabilities (e.g., “Tell me about Agents for Amazon Bedrock?”), research how an AWS service works (e.g., “What are the scaling limits on an Amazon DynamoDB table?”) or figure out the best way to architect a solution (e.g., “What are the best practices for building event-driven architectures?”). Business analysts and executives, using Amazon Q in QuickSight, can access generative AI-powered capabilities to build dashboards and more easily use existing dashboards to simplify decision making. — No Jitter, 2d ago