Articles about AI

Synthetic identity fraud is most commonly associated with fraud in banking or against credit unions but is often mistakenly overlooked in digital commerce. With fraudsters becoming cleverer about how they use synthetic identities, it’s a tactic that fraud fighters need to watch out for and guard against.

Synthetic identity fraud is when a fraudster takes a piece of real identifying information belonging to a legitimate individual and combines it with other identifying information that is either fake or real but belongs to someone else.

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The Department for Science, Innovation and Technology (DSIT) announced a £6.4 million grant for small and medium-sized enterprises (SMEs) to invest in AI-technology skills-based training. This development is the latest in a string of AI funding initiatives across the UK corporate sector, indicating that 2024 is the year emerging technologies will revolutionize the workplace in all aspects.

AI technology is transforming business functions across industries. However, the legal sector, in particular, has demonstrated tremendous progress. Often portrayed as laggards when it comes to embracing innovation, legal’s cautious, conservative approach to tech adoption has become a thing of the past in the age of AI. A recent survey from the Legal Services Board (LSB) discusses how over 95 percent of legal businesses found that implementing new technologies has made them more responsive to clients’ needs. Moreover, 60 percent of surveyed legal businesses found their clients expect them to power their legal services through tech innovation. 

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The data flood gates have opened wide for clinical trial research. In fact, the amount of data gathered may be more akin to a tsunami or a monsoon. For decades, researchers struggled with a lack of data available in clinical trials; however, they may have received more than they asked for. Research shows that the biopharmaceutical industry generates up to a trillion gigabytes of data annually and clinical trials, one of the principal contributors to these data points, generate an average of up to 3 million data points per trial. This influx of sources can make it challenging to discern relevant from superfluous information, complicating analysis and delaying critical decision-making.

An increase in decentralization paired with expanded collection methods in clinical trials have increased access to and accumulation of data. Information gathered from remote monitoring devices, electronic health records (EHRs), laboratory tests, surveys and questionnaires and third-party databases, all contribute to the data challenge in clinical trials. In reality, the number of touchpoints across clinical trials, from sponsors to clinical research organizations (CROs) to site staff, combined with the complexity and disparity of data sources leads to challenges in ensuring data quality.

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It’s no secret that artificial intelligence (AI) is transforming software development. From automating routine tasks to enhancing code efficiency and optimizing testing processes, AI is helping developers save time, money, and resources. It can also analyze code to detect bugs, security vulnerabilities, and quality issues more effectively than traditional models. If you’re thinking there’s a "but" coming, you’re right.

The downside to the benefits of leveraging AI technologies in software development is that it can also enhance the capabilities of malware developers. As such, the proliferation of AI is not necessarily fueling new cyberattacks, it is simply creating an even distribution of enhanced proficiency for both legitimate and malicious actors.

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Coding with AI For Dummies introduces you to the many ways that artificial intelligence can make your life as a coder easier. Even if you’re brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you.

With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable.

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Artificial Intelligence (AI) is only accelerating its adoption among global corporate enterprises, thus CEOs and business leaders are positioned at the confluence of innovation and ethics, as it relates to implementing AI projects, in their businesses. 

While technical prowess and business potential are usually the focus of conversations around AI, the ethical considerations are sometimes overlooked, especially those not immediately obvious. From a perspective that straddles the line of business leadership and technical acumen, there are five critical, yet often missed, ethical considerations in AI practices that should be part of your due diligence in starting any AI projects: 

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While many introductory guides to AI are calculus books in disguise, this one -- Applied Machine Learning and AI for Engineers -- mostly eschews the math.

Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company.

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Microsoft caused concern when it released an update to its Edge browser. Despite having decided not to add its AI-powered assistant Copilot to Windows Server 2025 because of complaints from admins, users were upset to find that Copilot suddenly appeared in the list of installed apps for Windows Server 2022.

What's going on? Nothing sinister, insists Microsoft. The company has scrabbled to calm the fears of administrators saying that while a package called "Microsoft chat provider for Copilot in Windows" may well show up, Copilot has not actually been installed and it is not collecting any data.

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Mentee Robotics has pulled back the curtain on MenteeBot, a personalized humanoid robot that fully integrates AI across all operational aspects.

Founded in 2022 by AI experts, Mentee Robotics has been working quietly behind the scenes for the past two years. The company’s prototype humanoid robot represents a full end-to-end operation cycle, from verbal command recognition to complex task fulfillment. This includes advanced feats such as navigation, locomotion, scene understanding, object detection, localization, and natural language understanding.

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 Whether it’s the company’s commitment to the cloud, to developing its Office suite or being a lead player in the artificial intelligence (AI) revolution, Microsoft remains the top provider of enterprise workplace tools. Despite no shortage of competition, Microsoft passed Apple earlier this year as the largest company in the world with a market capitalization of more than three trillion dollars.

Over the last few years, much has been made of Microsoft’s investment in AI. It is the lead investor in ChatGPT and has now rolled out Copilot, its own AI offering for the workforce. Copilot is an awesome tool, which leverages and trains publicly available code to provide users with suggestions and solutions to work challenges. Used properly, Copilot offers enhanced productivity and streamlined software development processes to users.

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Generative AI (Gen AI) is no doubt the new “white hot” technology, with tremendous potential for transforming Source-to-Pay processes. In fact, AI can deliver cost savings of up to 40 percent according to research by Oxford College of Procurement & Supply. With its widespread adoption and inclusion in digital transformation initiatives across every industry, Gen AI has become a must-learn technology. It has the potential to improve productivity of Procurement teams tremendously to eliminate time consuming and repetitive tasks and free up time for more strategic thinking. In fact, Gen AI can reduce time spent on some procurement processes by up to 60 percent.

This enables Procurement teams to elevate their strategic impact and spend time on more creative aspects of the function that have a bigger impact. 

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Zoom Video Communications has rolled out a major update and rebrand of its video-conferencing tool for Windows and Mac with the release of Zoom Workspace 6.0. The new name reflects the app’s new function -- as a single collaborative platform for all its AI-powered features, including the new Zoom AI companion.

The rebranded app is accompanied with a visual overhaul, but more notable are the sheer number of new and improved features on show.

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Conversations around artificial intelligence and the threat it poses to humanity have been building for years. The launch of ChatGPT (or generative AI) nearly a year ago thrust the issue to the forefront of the global agenda.

Discussions have reached such a fever pitch that in April this year, technologists including Elon Musk signed an open letter begging AI teams to pause development. Despite it being widely condemned, the letter underscored how seriously the world is considering AI risks.

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Artificial intelligence is just about impossible to avoid, and not content with packing Windows with AI-powered features, Microsoft is doing the same with PowerToys.

Details are currently a little thin on the ground, but the popular collection of utilities is due to gain a new module called Advanced Paste. Microsoft has not yet revealed much about the upcoming tool, but the schedule of events for next month's Build conference includes a session called "PowerToys Advanced Paste with Local AI".

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While Microsoft releases updates for Windows 11 every month, some are more significant with others. The company has taken to releasing 'moment' updates from time to time, and these are where more interesting changes and additions are to be found.

Earlier this week, Microsoft released the eagerly awaited Moment 5 update for Windows 11 when it unleashed the KB5036893 update on April's Patch Tuesday. But just what is included in Moment 5, and is it worth installing? In short, there's a lot to be found in the update and, yes, it is definitely worth installing now. Let's take a look.

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