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SAP and Fresenius to build sovereign AI backbone for healthcare

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, data, Healthcare, Healthcare & Wellness AI, Inside AI, medical, sap, Security, sovereignty

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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Scaling AI value beyond pilot phase purgatory

adoption, ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, enterprise, Features, governance, Governance, Regulation & Policy, ibm, Inside AI, strategy

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

ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, credit unions, Customer Experience, Finance AI, financial sector, Fintech

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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JPMorgan Chase treats AI spending as core infrastructure

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, banking, Features, Finance, Finance AI, governance, Governance, Regulation & Policy, infrastructure, Infrastructure & Hardware, Inside AI, World of Work

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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Meeting the new ETSI standard for AI security

adoption, ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, Deep Dives, developers, enterprise, ethics, etsi, Features, frameworks, governance, Governance, Regulation & Policy, Inside AI, Security, standards

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

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, chatbot, Featured, Features, hr, Human-AI Relationships, Research, Trust, Bias & Fairness, workforce, Workforce & HR AI, World of Work

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

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, AI Mergers & Acquisitions, AI research, Artificial Intelligence, data analysis, Features, Healthcare, Healthcare & Wellness AI, Inside AI, nvidia

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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Allister Frost, a former Microsoft leader and expert on business transformation.

Allister Frost: Tackling workforce anxiety for AI integration success

adoption, ai, AI (Artificial Intelligence), AI and Us, AI Business Strategy, Artificial Intelligence, Culture, enterprise, ethics, Features, governance, Governance, Regulation & Policy, Human-AI Relationships, Inside AI, integration, Interviews, Opinion, Society, Trust, Bias & Fairness, workforce, World of Work

Navigating workforce anxiety remains a primary challenge for leaders as AI integration defines modern enterprise success. For enterprise leaders, deploying AI is less a technical hurdle than a complex exercise in change management. The reality for many organisations is that, while algorithms offer efficiency, the human element dictates the speed of adoption. Data from the

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

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, Deep Dives, Features, Inside AI

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

agentic ai, ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, Artificial Intelligence, chatbot, Deep Dives, Features, Retail, Retail & Logistics AI

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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