Most companies still approach AI like a software rollout, when in reality it behaves more like an organizational stress test.
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Why most AI collapses in the real world and what startup founders miss
Most AI systems that look impressive in a demo quietly fall apart once they hit messy customers, legacy stacks, and ...
AI in healthcare has reached a critical inflection point. Across the industry, organizations are investing heavily in artificial intelligence, believing it will revolutionize patient care, reduce ...
Yun Sing, also known as Tony Siu, approaches artificial intelligence with a practical, long‑term mindset. He sees every ...
Businesses across industries have been betting big on AI in the workplace—but the results have been, frankly, underwhelming. According to a new MIT Media Lab report, a staggering 95 percent of ...
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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 ...
AI agents behave more like employees than traditional software, and deployments should be designed accordingly.
For five years, the federal government has been under a legal mandate to train acquisition professionals in using and buying artificial intelligence (AI). During that time, federal spending on AI has ...
A recent MIT/NANDA report claiming that 95% of AI projects fail missed the real culprit: We’re ignoring decades of proven transformative change wisdom. I’ve seen this movie before. During my time ...
Language professors are experimenting with artificial intelligence tools to generate materials, personalize learning, give ...
As artificial intelligence reshapes the way construction, infrastructure and energy projects are conceived, delivered and managed, its transformative potential is becoming impossible to ignore.
The "AI Act in Action" conference, held on 20 January 2026 at the Chamber of Commerce, enabled participants to turn the ...
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