A practical way to check whether governance is real is to test it against situations most large organizations now face. Each one exposes the same underlying gap: AI decisions cut across functions, and ...

Anthropic's AI that's too powerful to release, Meta launches its new AI Muse, AI gets blamed for thousands of job cuts.

One of the most common ways organizations struggle with AI has nothing to do with the technology itself. It comes down to ...

Companies don't simply need more AI capability. They need organizational and technical infrastructure to deploy that capability responsibly, consistently and at scale.

Without proper control over enterprise content, AI agents use information sources that are obsolete or wrong, and they do it ...

Over the course of the last year, agentic AI autonomous systems that plan, reason and execute multistep tasks have moved from pilots to production in enterprises. Retailers have deployed agents for ...

We’re in an unusual moment with artificial intelligence. The technology is forging ahead faster than most institutions can keep up with, yet when it comes to high-stakes environments, leaders are ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. AI is no longer experimental, but without mature governance, most enterprises remain stuck ...

The healthcare sector is, in fact, very different from almost all other sectors that are adopting AI. The acceptable level of error is very low, the regulatory ...