New Report Analyzes 195 Executive Interviews and 48 Verified Delivery Failure Narratives to Uncover Why Software Projects ...

This week, an exercise in separating truth from hype. I am old enough to remember when generative AI (genAI) was the best thing since sliced bread — destined to solve any and all problems. But CIO.com ...

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

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 ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Agile software development is one of the most proven approaches to building software and ...

Failure rate exposed: MIT finds 95% of enterprise AI projects fail to deliver measurable profit-and-loss impact, with only 5% progressing beyond pilots. Culture over tools: Case studies show AI ROI ...

Organisations racing to implement generative AI (GenAI) find themselves caught between the pressure to innovate and the reality of what it takes to actually do so. As a result, Gartner research found ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. AI is the most gifted and least trustworthy colleague I've ...

As AI adoption accelerates, many companies still struggle to translate experimentation into production-grade results. In fact, more than 80% of AI projects fail. While the promise of AI remains high, ...

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, ...

Enterprise applications are the lifeblood of modern business, driving operational efficiency, enabling smarter business decisions and reducing technical debt. Yet, many strategies continue to fall ...