Why It Matters: Ravikant's views on cryptocurrency projects are significant, given his influence in the investment community. Best known as the founder of AngelList, he has invested early-stage in ...

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

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 ...

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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 ...

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 ...

A recent study shows over 80% of AI projects fail, with only 14% of companies ready to adopt AI, which suggests that the Gen AI could be a flop. However, Microsoft is heavily dependent on Gen AI ...

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 ...

Encourage open communication and accountability. Implement pilot programs with clear guardrails. Regularly assess and pivot projects based on ongoing feedback. Destigmatize failure by openly ...