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UK launches platform to help businesses manage AI risks, build trust

CIO Business Intelligence

The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. Meanwhile, the measures could also introduce fresh challenges for businesses, particularly SMEs.

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Beyond “Prompt and Pray”

O'Reilly on Data

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.

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CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. This creates new risks around data privacy, security, and consistency, making it harder for CIOs to maintain control.

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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible.

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ERM Program Fundamentals for Success in the Banking Industry

Speaker: William Hord, Senior VP of Risk & Professional Services

Enterprise Risk Management (ERM) is critical for industry growth in today’s fast-paced and ever-changing risk landscape. Do we understand and articulate our bank’s risk appetite and how that impacts our business units? How are we measuring and rating our risk impact, likelihood, and controls to mitigate our risk?

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AI Pact: Simplifying EU AI Act compliance for enterprises

CIO Business Intelligence

The aim is to provide a framework that encourages early implementation of some of the measures in the act and to encourage organizations to make public the practices and processes they are implementing to achieve compliance even before the statutory deadline.In

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Managing risk in machine learning

O'Reilly on Data

We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Classification parity means that one or more of the standard performance measures (e.g., Continue reading Managing risk in machine learning.