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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 ...
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 ...
Developer tooling provider Anaconda Inc. today announced that it has closed a Series C funding round worth more than $150 million. Insight Partners led the investment with participation from Mubadala ...
Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why ...
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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 ...
When AI is applied as a friction-removal layer rather than a replacement layer, organizations see higher trust, stronger ...
One of the construction industry’s longstanding challenges is effectively adopting new digital innovation strategies.
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