Category: AI Business Strategy

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    Modernising apps triples the odds of AI returns, Cloudflare says

    For many organisations, the AI debate has moved on from whether to adopt the technology to a harder question: why do the results feel uneven? New tools are in place, pilots are running, and budgets are rising, yet clear AI returns remain elusive. According to Cloudflare’s 2026 App Innovation Report, the difference often has less […]

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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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    The quiet work behind Citi’s 4,000-person internal AI rollout

    For many large companies, artificial intelligence still lives in side projects. Small teams test tools, run pilots, and present results that struggle to spread beyond a few departments. Citi has taken a different path, where instead of keeping AI limited to specialists, the bank has spent the past two years pushing the technology into daily […]

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    AIAI and MLAI Business StrategyAI in ActionHealthcare & Wellness AIInside AI

    SAP and Fresenius to build sovereign AI backbone for healthcare

    SAP and Fresenius are building a sovereign AI platform for healthcare that brings secure data processing to clinical settings. For data leaders in the medical sector, deploying AI requires strict governance that public cloud solutions often lack. This collaboration addresses that gap by creating a “controlled environment” where AI models can operate without compromising data […]

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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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    Credit unions, fintech and the AI inflection of financial services

    Artificial intelligence has shifted rapidly from a peripheral innovation to a structural component of modern financial services. In banking, payments, and wealth management, to name but three sub-sectors, AI is now embedded in budgeting tools, fraud detection systems, KYC, AML, and customer engagement platforms. Credit unions sit in this broader fintech transformation, facing similar technological […]

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    AI and MLAI Business StrategyAI in ActionArtificial IntelligenceFeaturesFinance AI

    JPMorgan Chase treats AI spending as core infrastructure

    Inside large banks, artificial intelligence has moved into a category once reserved for payment systems, data centres, and core risk controls. At JPMorgan Chase, AI is framed as infrastructure the bank believes it cannot afford to neglect. That position came through clearly in recent comments from CEO Jamie Dimon, who defended the bank’s rising technology […]

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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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    McKinsey tests AI chatbot in early stages of graduate recruitment

    Hiring at large firms has long relied on interviews, tests, and human judgment. That process is starting to shift. McKinsey has begun using an AI chatbot as part of its graduate recruitment process, signalling a shift in how professional services organisations evaluate early-career candidates. The chatbot is being used during the initial stages of recruitment, […]

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