Category: Features

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    AI and MLArtificial IntelligenceDeep DivesFeaturesInside AITrust, Bias & Fairness

    The US-China AI gap closed. The responsible AI gap didn’t

    The assumption that the US holds a durable lead in AI model performance is not well-supported by the data, and that is just one of the uncomfortable findings in Stanford University’s 2026 AI Index Report, published this week. The report, produced by Stanford’s Institute for Human-Centred Artificial Intelligence, is a 423-page annual assessment of where […]

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    AI and MLAI Business StrategyAI in ActionArtificial IntelligenceFeaturesPhysical AI

    Hyundai expands into robotics and physical AI systems

    Hyundai Motor Group is starting to look like a company building machines that act in the real world. The change centres on physical AI: Where AI is placed into robots and systems that move and respond in physical spaces. Current efforts are mainly focused on factory and industrial settings. Hyundai’s move into physical AI systems […]

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    AI and MLAI Business StrategyAI in ActionFeaturesFinance AIGovernance, Regulation & Policy

    Companies expand AI adoption while keeping control

    Many companies are taking a slower, more controlled approach to autonomous systems as AI adoption grows. Rather than deploying systems that act on their own, they are focusing on tools that assist human decision-making while keeping tight control over outputs. This approach is especially clear in sectors where errors carry real financial or legal risk. […]

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    AI and MLAI Business StrategyFeatured NewsFeaturesGovernance, Regulation & PolicyHow It Works

    Microsoft open-source toolkit secures AI agents at runtime

    A new open-source toolkit from Microsoft focuses on runtime security to force strict governance onto enterprise AI agents. The release tackles a growing anxiety: autonomous language models are now executing code and hitting corporate networks way faster than traditional policy controls can keep up. AI integration used to mean conversational interfaces and advisory copilots. Those […]

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    AI and MLAI Business StrategyAI in ActionFeaturesGovernance, Regulation & PolicyTechEx Events

    As AI agents take on more tasks, governance becomes a priority

    AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is allowed to […]

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    AI and MLAI Business StrategyData Engineering & MLOpsFeaturesGovernance, Regulation & PolicyHow It Works

    KiloClaw targets shadow AI with autonomous agent governance

    With the launch of KiloClaw, enterprises now have a tool to enforce governance over autonomous agents and manage shadow AI. While businesses spent the last year securing large language models and formalising vendor agreements, developers and knowledge workers started moving on their own. Employees are bypassing official procurement, deploying autonomous agents on personal infrastructure to […]

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    AI and MLAI Business StrategyArtificial IntelligenceFeaturesFinance AIWorld of Work

    JPMorgan begins tracking how employees use AI at work

    Banking house JPMorgan Chase is asking its roughly 65,000 engineers and technologists to use AI tools as part of their regular workflow. Business Insider reported that managers are tracking how often staff use these tools. That use may also influence performance reviews. The report states employees are encouraged to use tools like ChatGPT and Claude […]

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    AI and MLAI in ActionArtificial IntelligenceFeaturesFinance AIWorld of Work

    AI agents enter banking roles at Bank of America

    AI agents are starting to take on a more direct role in how financial advice is delivered, as large banks move beyond internal tools and into systems that support real client interactions. Bank of America is now deploying an internal AI-powered advisory platform to a subset of financial advisors, rolled out to around 1,000 financial […]

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    AI and MLAI and UsAI Business StrategyAI in ActionData Engineering & MLOpsFeatures

    Automating complex finance workflows with multimodal AI

    Finance leaders are automating their complex workflows by actively adopting powerful new multimodal AI frameworks. Extracting text from unstructured documents presents a frequent headache for developers. Historically, standard optical character recognition systems failed to accurately digitise complex layouts, frequently converting multi-column files, pictures, and layered datasets into an unreadable mess of plain text. The varied […]

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