Inside AI

Auto Added by WPeMatico

Banner for AI & Big Data Expo by TechEx events.

Controlling AI agent sprawl: The CIO’s guide to governance

agentic ai, agents, ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, enterprise, Features, governance, Governance, Regulation & Policy, Inside AI, Opinion

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 […]

Controlling AI agent sprawl: The CIO’s guide to governance Read More »

Balancing AI cost efficiency with data sovereignty

ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, data, enterprise, Features, governance, Governance, Regulation & Policy, Inside AI, Opinion, Privacy, Security, sovereignty, strategy

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

Balancing AI cost efficiency with data sovereignty Read More »

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

SAP and Fresenius to build sovereign AI backbone for healthcare Read More »

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

Scaling AI value beyond pilot phase purgatory Read More »

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

JPMorgan Chase treats AI spending as core infrastructure Read More »

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

Meeting the new ETSI standard for AI security Read More »

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

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

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

Allister Frost: Tackling workforce anxiety for AI integration success Read More »

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

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

Datadog: How AI code reviews slash incident risk

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, coding, datadog, development, engineering, Features, infosec, Inside AI, Security, tools, World of Work

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

Datadog: How AI code reviews slash incident risk Read More »