Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...

The biggest challenge for agentic AI adoption is the lack of standardization and good practices, both shared and verified.

Boards are starting to ask tougher questions about money sunk into AI. Interrogations into the value of AI projects are an opportunity to re-focus. Concentrate on capacity building, strong ...

Headlines alternate between massive AI investments and reports of failed deployments. The pattern is consistent across industries: seemingly promising AI projects that work well in testing ...

AI in healthcare has reached a critical inflection point. Across the industry, organizations are investing heavily in artificial intelligence, believing it will revolutionize patient care, reduce ...

Most writing about AI focuses on why projects fail, but in my experience, that misses the real issue. Most AI initiatives don’t just fail. They never even begin. They get approved in principle, ...