The claim that “AI projects are failing” has become a familiar headline—and a valid one. But while the failure rate may be high, it’s not necessarily cause for alarm. In fact, understanding why these ...

Five ways to promote healthy risk-taking in your organization. “If the size of your failures isn’t growing you’re not going ...

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 ...

The Project Management Institute and The Agile Alliance spent over 20 years competing for project funding, certifications, training dollars and credibility. Their agreement to form The PMI Agile ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...

Everyone's talking about how AI will transform healthcare, but here's the thing: most projects never make it out of the pilot phase. This isn't because the algorithms aren't smart enough. It’s because ...

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 ...