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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 ...
Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Despite billions invested in AI platforms, cloud infrastructure, ...
Mike Kiersey is Global VP of Solution Consulting at Workato. A technology executive bridging the gaps in the digital AI era. Over four in 10 businesses have scrapped at least one AI initiative this ...
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 ...
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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 ...
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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