This week - agentic project success and failure gets defined. Meanwhile, diginomica research has your AI versus SaaS data ...
A new study from MIT's NANDA initiative has found that 95% of generative AI pilots fail to deliver measurable ROI for companies – a failure rate rooted not in flawed models but in poor integration and ...
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 ...
We are living through one of those rare moments when an entire industry cycle is being reimagined. Like the internet revolution of the 1990s, artificial intelligence is fundamentally reshaping how ...
Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain ...
Just like a fancy camera doesn't make you a photographer, just having access to powerful AI tools doesn't mean you're getting real value out of them. It's what you do with the tools—how you structure ...
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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 ...
The Internal Revenue Service's efforts to leverage artificial intelligence are running into obstacles due to the severe cuts ...
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Why your AI projects keep failing
Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren’t seeing the results they were hoping for. According to ...
After sixteen years building integration infrastructure for contact centers, I've watched enterprises make the same expensive mistake: They buy sophisticated AI, deploy it with fanfare, then watch it ...
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