Most companies still approach AI like a software rollout, when in reality it behaves more like an organizational stress test.

MIT's Project NANDA reported in July 2025 that around 95% of enterprise GenAI pilots failed to deliver measurable value. The report stated that most failures resulted from misaligned tasks or poor ...

At the end of last year, Policy and Resources Committee (P&R) vice-president Gavin St Pier announced MyGov had not delivered ...

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 ...

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, ...

A controversial “gateway” project at the northern end of downtown Pismo Beach will move forward after a pair of appeals of the project failed to dissuade the City Council. At its Tuesday meeting, the ...

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.

American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet the same study found that 95% of companies are seeing zero measurable ...

Roads and bridges constructed by public works departments often fail not from engineering gaps but negligence, missing ...

Add Yahoo as a preferred source to see more of our stories on Google. With growing demand for carbon-free, around-the-clock energy, more and more utilities, politicians and developers are looking ...

Development plans for the historic Ghost Ranch Lodge and the condominium complex One West failed to win federal low-income-housing tax credits, possibly killing one project and putting the other on ...

Is failure a near-certainty in your business? That seems to be the case for software projects, at least, because a surprising number of them don't work. In fact, companies are learning to expect a ...