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 ...

There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...

Healthcare is investing billions in AI, yet most projects fail to scale. This analysis examines the EMR Divide and why only 4 ...

Why does traditional training fail tech teams? It's jarring to know that 78% of organizations abandon projects partway through because they didn't have employees with the necessary IT skills. Today, ...

ZoomInfo reports that 95% of enterprise AI projects fail to deliver ROI due to inadequate data infrastructure. Successful implementations focus on specific problems, integrate into workflows, learn ...

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.

With growing demand for carbon-free, around-the-clock energy, more and more utilities, politicians and developers are looking toward nuclear power as a potential solution. The trouble is, for decades, ...

The story of how Honda developed an oval-piston race engine that ultimately failed but still made history along the way.

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 ...

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 ...

The Post Office’s once-in-a-generation project to replace the controversial Horizon system was “set up to fail” and needs to be reset, its chairman has told the public inquiry. Nigel Railton told the ...