Category: Governance, Regulation & Policy

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    AI and MLAI and UsAI Business StrategyAI Market TrendsFeaturesGovernance, Regulation & Policy

    Franny Hsiao, Salesforce: Scaling enterprise AI

    Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before production, a challenge that goes far beyond model selection. While generative AI prototypes are easy to spin up, turning them into reliable business assets involves solving the difficult problems of data engineering and governance. Ahead of AI & Big Data Global 2026 in […]

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    Inside Standard Chartered’s approach to running AI under privacy rules

    For banks trying to put AI into real use, the hardest questions often come before any model is trained. Can the data be used at all? Where is it allowed to be stored? Who is responsible once the system goes live? At Standard Chartered, these privacy-driven questions now shape how AI systems are built, and […]

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    AI and MLAI and UsAI Business StrategyAI Market TrendsFeaturesGovernance, Regulation & Policy

    Databricks: Enterprise AI adoption shifts to agentic systems

    According to Databricks, enterprise AI adoption is shifting to agentic systems as organisations embrace intelligent workflows. Generative AI’s first wave promised business transformation but often delivered little more than isolated chatbots and stalled pilot programmes. Technology leaders found themselves managing high expectations with limited operational utility. However, new telemetry from Databricks suggests the market has […]

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    AI and MLAI and UsAI in ActionGovernance, Regulation & PolicyGovernment & Public Sector AIInside AI

    Anthropic selected to build government AI assistant pilot

    Anthropic has been selected to build government AI assistant capabilities to modernise how citizens interact with complex state services. For both public and private sector technology leaders, the integration of LLMs into customer-facing platforms often stalls at the proof-of-concept stage. The UK’s Department for Science, Innovation, and Technology (DSIT) aims to bypass this common hurdle […]

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    AI and MLAI Business StrategyFeaturesGovernance, Regulation & PolicyInside AIOpinion

    Controlling AI agent sprawl: The CIO’s guide to governance

    Corporate networks are filling up with AI agents, creating a governance blind spot for leaders managing multi-cloud infrastructures. As distinct business units race to adopt generative technologies, CIOs especially find their ecosystems populated by fragmented and unmonitored assets. This mirrors the shadow IT challenges of the cloud era, but involves autonomous actors capable of executing […]

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    AI and MLAI Business StrategyFeaturesGovernance, Regulation & PolicyInside AIOpinion

    Balancing AI cost efficiency with data sovereignty

    AI cost efficiency and data sovereignty are at odds, forcing a rethink of enterprise risk frameworks for global organisations. For over a year, the generative AI narrative focused on a race for capability, often measuring success by parameter counts and flawed benchmark scores. Boardroom conversations, however, are undergoing a necessary correction. While the allure of […]

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    adoptionAI and MLAI Business StrategyFeaturesGovernance, Regulation & PolicyInside AI

    Scaling AI value beyond pilot phase purgatory

    Scaling AI value from isolated pilots to enterprise-wide adoption remains a primary hurdle for many organisations. While experimentation with generative models has become ubiquitous, industrialising these tools (i.e. wrapping them in necessary governance, security, and integration layers) often stalls. Addressing the gap between investment and operational return, IBM has introduced a new service model designed […]

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    AI and MLAI Business StrategyDeep DivesFeaturesGovernance, Regulation & PolicyInside AI

    Meeting the new ETSI standard for AI security

    The ETSI EN 304 223 standard introduces baseline security requirements for AI that enterprises must integrate into governance frameworks. As organisations embed machine learning into their core operations, this European Standard (EN) establishes concrete provisions for securing AI models and systems. It stands as the first globally applicable European Standard for AI cybersecurity, having secured […]

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    AI and MLAI and UsAI Business StrategyFeaturesGovernance, Regulation & PolicyHuman-AI Relationships

    Allister Frost: Tackling workforce anxiety for AI integration success

    Navigating workforce anxiety remains a primary challenge for leaders as AI integration defines modern enterprise success. For enterprise leaders, deploying AI is less a technical hurdle than a complex exercise in change management. The reality for many organisations is that, while algorithms offer efficiency, the human element dictates the speed of adoption. Data from the […]

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    AI and MLAI Business StrategyChinaDeep DivesGovernance, Regulation & PolicyWorld of Work

    The Meta-Manus review: What enterprise AI buyers need to know about cross-border compliance risk

    Meta’s US$2 billion acquisition of AI agent startup Manus has become every enterprise CTO’s cross-border compliance risk lesson. China’s Ministry of Commerce announced on January 9 that it would assess whether the deal violated export controls, technology transfer rules, and overseas investment regulations, despite Manus relocating from Beijing to Singapore in 2025. The investigation exposes […]

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