When companies focus on practical, user-centered implementation, AI can stop being an experiment and start having a real impact.
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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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 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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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 ...
American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet the same study found that 95% of companies are seeing zero measurable ...
Mangrove restoration is booming, but many projects fail. New research shows why execution, community support, hydrology, and long-term funding matter more than mass planting.
Why 95% of enterprise AI projects fail to deliver ROI: A data analysis American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet ...
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