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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 ...
The Project Management Institute and The Agile Alliance spent over 20 years competing for project funding, certifications, training dollars and credibility. Their agreement to form The PMI Agile ...
Forrester predicts that, in 2026, one-quarter of CIOs will be asked to bail out business-led AI failures in their organizations. With the recent wave of generative AI and LLMs changing how AI is ...
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 ...
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.
This week, an exercise in separating truth from hype. I am old enough to remember when generative AI (genAI) was the best thing since sliced bread — destined to solve any and all problems. But CIO.com ...
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