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 ...
Hosted on MSN
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 ...
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 ...
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 ...
Forbes contributors publish independent expert analyses and insights. Rhett is a DC based executive coach who covers entrepreneurship. Senior leaders are under increasing pressure to go green. ESG ...
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.
At the AI Everything 2026 event in Cairo, Egypt, IBM’s chief scientist Ruchir Puri shared that data chaos, unrealistic expectations and cultural resistance are likely derailing sovereign AI ambitions.
In the booming industry of Outdoor Lighting, there is a confusing phenomenon: A contractor buys a “10,000 Lumen” solar street light, installs it, and yet the road remains dangerously dim. The battery ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results