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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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MIT explains why most AI projects are failing
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 ...
Success depends on leaders staying focused, involved, and accountable. Companies of every size in every industry and part of the world are basing more of their work around projects. And yet research ...
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Why more than half of AI projects could fail in 2026
In 2025, to borrow a phrase: the AI revolution is already here; it's just not evenly distributed. While individuals are seeing productivity gains from LLMs or newer agentic systems, larger projects ...
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 ...
Over the last decade, I’ve helped business leaders across industries navigate digital optimization to rise on the digital maturity scale, and more recently, the unique challenges of AI integration. My ...
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