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Insurers pivot AI strategy toward core risk underwriting

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AI investments by insurers are now expected to generate tangible business value beyond mere efficiency. According to findings in the 2026 Evident AI Index, insurers are now embedding AI technologies into workflows that directly influence underwriting discipline and capital allocation. Christian Preece, Insurance Director at Evident, says: “For years, insurers have competed on AI ambition, […]

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How E.ON uses SAP S/4HANA to modernise the grid with AI

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Standardising grid data through SAP S/4HANA allows E.ON to modernise infrastructure and execute AI deployments. The utility giant manages infrastructure across three distinct domains: energy grids, customer solutions, and energy infrastructure solutions. Maintaining operations across this scope requires continuous capital expenditure on IT hardware and software maintenance. Leadership initially questioned the business case supporting large-scale

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Scaling safe enterprise AI with OpenAI governance frameworks

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OpenAI’s latest governance frameworks offer enterprise leaders a structured blueprint for scaling safe and compliant AI deployments globally. The adoption of large language models has steadily progressed towards requiring sustainable, commercial-grade architecture. OpenAI has released its Frontier Governance Framework (FGF), documenting how the organisation addresses systemic risk assessment and mitigation. The framework maps directly to

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Google Pay preps for AI agents with Universal Commerce Protocol

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Google Pay is overhauling its payment infrastructure for an impending wave of transactions from AI agents. The latest updates introduce the Universal Commerce Protocol and a new server architecture, positioning Google Pay as a central clearinghouse for purchases executed by autonomous agents rather than human users. AI agents – designed to perform tasks like booking

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Autonomous AI systems test governance in physical environments

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Autonomous AI systems are beginning to move beyond software environments and into warehouses, delivery networks, and public spaces. The development is drawing attention to whether current AI rules cover systems that operate in physical environments. Most existing AI governance frameworks have focused on online harms and model outputs, including bias, misinformation, and harmful content. Embodied

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Proving the case on day two at TechEx North America

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The AI and Big Data programme on day two of TechEx North America referred at least once to the “AI graveyard,” meaning the large number of pilots that never become durable systems. That phrase set the tone. The question was proof. The Enterprise AI Implementation, ROI and Adoption track dealt with the hard middle of

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Google tests Remy AI agent for Gemini as focus turns to user control

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Google is testing Remy, a new AI personal agent for Gemini, according to Business Insider. The tool is designed to take actions for users in work and daily tasks. Remy is being tested in a staff-only version of the Gemini app. The report said it reviewed an internal document and spoke with two people familiar

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Physical AI raises governance questions for autonomous systems

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Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion.

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SAP: How enterprise AI governance secures profit margins

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According to SAP, enterprise AI governance secures profit margins by replacing statistical guesses with deterministic control. Ask a consumer-grade model to count the words in a document, and it will often miss the mark by ten percent. Manos Raptopoulos, Global President of Customer Success Europe, APAC, Middle East & Africa at SAP, observes that the

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AI agent governance takes focus as regulators flag control gaps

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Australia’s financial regulator has warned financial firms that AI agent governance and assurance practices are poorly governed. The warning comes as banks and superannuation trustees expand AI in internal and customer-facing operations. The Australian Prudential Regulation Authority said it conducted a targeted review of selected large regulated entities in late 2025 to assess AI adoption

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