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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 ...
Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...
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AI builds working robotic hands from scratch
Another notable project is one where a robot gripper is able to prepare food independently. This robot uses AI to learn how to handle different food items, from slicing soft tomatoes to flipping ...
The 2025 Global AIPM Survey, the most comprehensive study of its kind, shows that organizations using AI are executing projects up to 25% faster and achieving measurable savings, marking a turning ...
Only 5% of AI projects deliver. It comes down to the ability to customize. With partnerships in place, AI success odds double. Ask the right questions before deciding between building or buying. There ...
Learn how organizations can build an AI-first enterprise by moving beyond pilot projects to achieve true transformation, ...
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