Category: AI Business Strategy

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    PepsiCo is using AI to rethink how factories are designed and updated

    For many large companies, the most useful form of AI right now has little to do with writing emails or answering questions. At PepsiCo, AI is being tested in places where mistakes are costly and changes are hard to undo — factory layouts, production lines, and physical operations. That shift is visible in how PepsiCo […]

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    Deloitte sounds alarm as AI agent deployment outruns safety frameworks

    A new report from Deloitte has warned that businesses are deploying AI agents faster than their safety protocols and safeguards can keep up. Therefore, serious concerns around security, data privacy, and accountability are spreading. According to the survey, agentic systems are moving from pilot to production so quickly that traditional risk controls, which were designed […]

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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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    Cold snap highlight’s airlines’ proactive use of AI

    The severe weather experienced at present in the US has placed significant strain on the airline industry in the country, with knock-on effects of changes to schedules and routes affecting the rest of the world. It’s at times like this that companies have to respond to queries from customers at a much greater rate than […]

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    How Formula E uses Google Cloud AI to meet net zero targets

    Formula E is using Google Cloud AI to meet its net zero targets by driving efficiency across its global logistics and commercial operations. As part of an expanded multi-year agreement, the electric racing series will integrate Gemini models into its ecosystem to support performance analysis, back-office workflows, and event logistics. The collaboration demonstrates how sports […]

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    AIAI and MLAI Business StrategyAI Market TrendsInfrastructure & HardwareWorld of Work

    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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