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Why 95% of AI Projects Fail – And the Evaluation Tools Changing That
MIT research shows 95% of enterprise AI projects deliver zero returns. Discover how AI evaluation tools like Braintrust, Arize, Galileo, and Fiddler are helping the 5% succeed.
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Most AI pilots fail not because the technology doesn’t work, but because nobody cleared space in people’s calendars to actually use it.
The Capacity Problem Nobody Talks About Most AI pilots don’t fail because the technology is bad. They fail because you launched a new tool into a calendar already running at 120%. The Real Blocker Isn’t Resistance When adoption stalls, the instinct is to blame culture. Or training. Or comms. But ask anyone on the ground…
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Vibe Coding vs. Agile vs. Waterfall: The Rise of Intent-Driven Delivery
Generative AI tools like Cursor and Replit are revolutionizing software development with ‘vibe coding’—rapid, intuitive development at the speed of thought. But as engineering leaders grapple with balancing AI-driven speed against enterprise-grade reliability, a new paradigm emerges: Intent-Driven Delivery. Discover how this hybrid approach synthesizes the best of Agile adaptability and Waterfall governance, empowering developers…
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Speed is easy. Control is the strategic imperative.
In the world of Agile and DevOps, we obsess over “Speed” (Lead Time) and “Autonomy” (Empowered Teams). But when you work in Critical National Infrastructure—like my current work on the UK’s national gas IT system—you learn very quickly that connecting those two pipes without a valve is dangerous. I love this visual because it perfectly…
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The Technological Jerk of Software Development
If you work in software today, you know the feeling. It’s not just the speed of change that’s exhausting; it’s the acceleration of that change. In physics, the rate of change of acceleration is called “jerk.” In our industry, we face a “Technological Jerk”—a disruptive force that makes shipping software feel chaotic and risky. For…
