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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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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 dominated the conversation in 2025, CIOs shift gears in 2026

Author: Richard Farrell, CIO at Netcall After a year of rapid adoption and high expectations surrounding artificial intelligence, 2026 is shaping up to be the year CIOs apply a more strategic lens. Not to slow progress, but to steer it in a smarter direction. In 2025, we saw the rise of AI copilots across almost

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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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AI medical diagnostics race intensifies as OpenAI, Google, and Anthropic launch competing healthcare tools

OpenAI, Google, and Anthropic announced specialised medical AI capabilities within days of each other this month, a clustering that suggests competitive pressure rather than coincidental timing. Yet none of the releases are cleared as medical devices, approved for clinical use, or available for direct patient diagnosis—despite marketing language emphasising healthcare transformation. OpenAI introduced ChatGPT Health on January

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AstraZeneca bets on in-house AI to speed up oncology research

Drug development is producing more data than ever, and large pharmaceutical companies like AstraZeneca are turning to AI to make sense of it. The challenge is no longer whether AI can help, but how tightly it needs to be built into research and clinical work to improve decisions around trials and treatment. That question helps

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Why Apple chose Google over OpenAI: What enterprise AI buyers can learn from the Gemini deal

Apple’s multi-year agreement to integrate Google’s Gemini models into its revamped Siri marks more than just another Big Tech partnership. The deal, announced Monday, offers a rare window into how one of the world’s most selective technology companies evaluates foundation models—and the criteria should matter to any enterprise weighing similar decisions. The stakes were considerable. Apple had

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How Shopify is bringing agentic AI to enterprise commerce

Shopify is enhancing core enterprise commerce workflows with agentic AI, automating operations while expanding sales channels. The adoption of generative AI in commerce has largely centred on customer support chatbots and basic content generation. Shopify’s Winter ‘26 Edition, titled Renaissance, pushes this technology toward agentic commerce where AI systems actively manage workflows, configure infrastructure, and

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Retailers like Kroger and Lowe’s test AI agents without handing control to Google

Retailers are starting to confront a problem that sits behind much of the hype around AI shopping: as customers turn to chatbots and automated assistants to decide what to buy, retailers risk losing control over how their products are shown, sold, and bundled. That concern is pushing some large chains to build or support their

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Datadog: How AI code reviews slash incident risk

Integrating AI into code review workflows allows engineering leaders to detect systemic risks that often evade human detection at scale. For engineering leaders managing distributed systems, the trade-off between deployment speed and operational stability often defines the success of their platform. Datadog, a company responsible for the observability of complex infrastructures worldwide, operates under intense

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