Most companies still approach AI like a software rollout, when in reality it behaves more like an organizational stress test.

As enterprises race to deploy agentic AI, a new fault line is emerging. The risk is no longer model accuracy, but whether organisations can actually run autonomy safely, predictably, and at scale.

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 ...

When you hear that research shows 95% of AI adoption efforts fail, it is easy to assume the technology is the problem. But most of the time, it is more about the people than the software. WalkMe, an ...

AI dynamic pricing is another AI use case that sounds great in theory. But it offers the opportunity to be implemented so poorly that it could severely damage the long term reputation – and economic ...

Generative AI could have written this introduction, but there's a good chance it would have started hallucinating. Hallucination, which Google failed to mention in its AI-filled 2025 keynote, led to ...

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 ...

AI is no longer a question of “if” or “when”. It’s already here. Embedded in pilots, demos, and proofs of concept across nearly every major enterprise. But there’s a catch: most of those AI projects ...