High-profile chains raised up to $1.2B in total, but failed to perform. A batch of top 10 chains with high raises is now down ...

Here are the five conditions that almost always determine whether an AI project moves from conversation to execution.

When companies focus on practical, user-centered implementation, AI can stop being an experiment and start having a real impact.

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 ...

AI Projects Are Failing at an Alarming Rate Enterprise AI adoption is accelerating. Budgets are growing. Boards expect measurable outcomes. Yet most AI initiatives fail...Read More The post Why 70% of ...

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.

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 ...

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 ...

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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 ...

When AI Misses the Mark: Why Tech Buyers Face Project Failures Your email has been sent New research found that 11% of U.K. businesses have at least 50 AI projects stuck in the planning phase, which ...