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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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HarmonyOS 7 steps into the AI gap Apple left open in China

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Four days after Apple confirmed that Siri AI would not launch in China, Huawei took the stage in Dongguan and declared HarmonyOS 7 the beginning of the agent era. The gap Apple could not fill, Huawei has moved into with an architecture built specifically for it. What HarmonyOS 7 actually changes The headline change is

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Coinbase for Agents: Automating portfolio trading with AI

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Coinbase for Agents connects AI to financial execution channels to automate trading and payments directly from user portfolios. Large language models process vast quantities of data but lack direct integration with active financial portfolios. Individuals frequently employ these models to evaluate market developments or research investment opportunities. These software tools possess the capacity for complex

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Visa ChatGPT integration enables AI agent retail purchasing

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Visa has linked its payment infrastructure to ChatGPT, enabling AI agents to recommend retail products and execute financial transactions. The deployment removes human intervention from the final stages of the retail funnel. Autonomous agents will now process user prompts, evaluate merchant catalogues, and complete the checkout process using Visa’s payment rails at any supporting merchant.

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Aviva deploys AI to stop £230M in sophisticated insurance fraud

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Aviva has uncovered a record £230 million in insurance fraud claims and is using AI tools to counter the growing problem. The battleground has changed, and the culprits are also coming armed with a new generation of tools. We’re now in an environment where AI is being used not just to defend against fraud, but

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How C3 AI agents will automate predictive maintenance for Shell

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Shell will use agents from C3 AI to shift from basic anomaly detection towards fully-automated predictive maintenance. The global energy giant is building on their current use of the C3 AI Reliability Suite, which already keeps tabs on more than 30,000 crucial pieces of equipment across upstream and downstream operations. Shell now intends to lean

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Meta Business Agent drives AI-powered conversational commerce

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Meta has launched Business Agent to automate conversational commerce workflows directly inside its messaging applications. The software allows global retail brands to execute transactions and field support tickets without human intervention. Deploying this architecture places agentic AI directly at the core of social commerce. Meta integrated these workflows natively into Instagram, Messenger, and soon WhatsApp.

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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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Microsoft’s Majorana 2 quantum chip is also a case study for agentic AI in R&D

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Microsoft’s Majorana 2 quantum chip arrived this week with numbers that are genuinely difficult to contextualise: qubits 1,000 times more reliable than the first generation, a mean qubit lifetime of 20 seconds against an industry norm measured in microseconds, and a revised roadmap targeting a commercially scalable quantum computer by 2029. Behind those numbers is Microsoft Discovery

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Anthropic IPO filing marks AI maturing into enterprise utility

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Anthropic’s IPO filing marks the maturation of generative AI from a research-heavy venture phase into a stabilised enterprise utility. Model developers operating in private markets have prioritised rapid iteration and maximum compute performance over predictable billing cycles. Taking a foundational provider public aligns those engineering goals with standard corporate procurement, introducing structured release schedules and

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