Articles about AI

Today, almost every organization and most individuals are using or experimenting with Artificial Intelligence (AI). There are plenty of examples of how it is changing businesses for the better, from marketing and HR to IT teams. What was once computationally impossible, or prohibitively expensive to do, is now within reach with the use of AI.

According to Gartner, approximately 80 percent of enterprises will have used generative AI (GenAI) APIs or models by 2026. As AI drives value for organizations, it is fueling further demand and adoption.

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The AI era is here -- and businesses are starting to capitalize. Britain’s AI market alone is already worth over £21 billion and expected to add £1 trillion of value to the UK economy by 2035. However, the threat of “shadow AI” -- unauthorized AI initiatives within a company -- looms large.

Its predecessor -- “shadow IT” -- has been well understood (albeit not always well managed) for a while now. Employees using personal devices and tools like Dropbox, without the supervision of IT teams, can increase an organization’s attack surface -- without execs or the C-suite ever knowing. Examples of shadow AI include customer service teams deploying chatbots without informing the IT department, unauthorized data analysis, and unsanctioned workflow automation tools (for tasks like document processing or email filtering).

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The world has gone crazy for AI, and Microsoft has jumped feet-first into the technology. Copilot is just one of the company’s tools in this field, but not everyone is completely in love with this digital assistant.

For anyone who is of the opinion that things are moving too fast when it comes to Copilot, there is some good news. With the release of the latest beta build of Windows 11, Microsoft says that it is slowing down the rollout of new Copilot experiences.

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Enterprise Transformation to AI and the Metaverse provides guidance on how organizations can respond effectively to a rapidly converging collection of advanced technologies, methods, and models often referred to as “the metaverse.”

The arrival of the metaverse will likely lead to one of the most disruptive eras in modern history. We will see our personal, social, professional, and business lives change just as dramatically as we experienced with the arrival of the personal computer, Internet, and smart phone.

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On March 13, 2024, the European Parliament adopted the Artificial Intelligence Act (AI Act), establishing the world’s first extensive legal framework dedicated to artificial intelligence. This imposes EU-wide regulations that emphasize data quality, transparency, human oversight, and accountability. With potential fines reaching up to €35 million or 7 percent of global annual turnover, the act has profound implications for a wide range of companies operating within the EU.

The AI Act categorizes AI systems according to the risk they pose, with stringent compliance required for high-risk categories. This regulatory framework prohibits certain AI practices deemed unacceptable and meticulously outlines obligations for entities involved at all stages of the AI system lifecycle, including providers, importers, distributors, and users.

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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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