More than 80% of corporate AI projects never make it out of the pilot phase or fail to deliver measurable value once deployed, according to RAND research. This failure rate is two times higher than ...

Recent survey findings indicate that in most business functions, around one in ten organizations reports successfully scaling ...

When a software project stumbles—or ultimately fails—it can have a range of negative consequences, from lost and unrecoverable resources to a blow to team morale. It can be tempting to blame a failed ...

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 ...

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.

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 by over 96%, while having no developers, on-chain activity, or liquidity.

It is within this context that Madhusudan Nagaraja has been contributing independent advisory guidance as a member of the PMI Infinity Advisory Committee. PMI Infinity, launched in January 2024, is ...

We adhere to a strict editorial policy, ensuring that our content is crafted by an in-house team of experts in technology, hardware, software, and more. With years of experience in tech news and ...

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 ...

Nearly all corporate artificial intelligence pilot projects fail to deliver measurable business value, according to new research — a finding that comes as Louisiana companies accelerate AI hiring ...