Gradient Flow’s analysis of data, technology, and business, with a focus on machine learning and AI — one of the Top 10 Sites for Data Scientists.
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Integration Is the New Moat: Moving Beyond the LLM
The AI Agent Conference in New York was one of the better events I’ve attended to get a read on what’s actually happening with enterprise AI. The formal sessions were…
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Google I/O 2026: The Agent Layer Takes Shape
The announcements at Google I/O 2026 landed today. I’ve gone through everything and pulled out what I think actually matters for people building products, running technical teams, or making bets…
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The End of the AI Experiment: Surviving the CFO’s New ROI Demands
Why This Has Become an Executive Issue Why is AI spend no longer just an IT budget problem? AI has crossed a threshold where aggregate spend across every department requires…
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Why Your AI Agents Fail in Production (And How to Actually Test Them)
In a previous post, I argued that deploying autonomous AI agents reliably is not primarily a model problem. It is an environment problem. The gap between a capable foundation model…
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Quantum’s Weak Link: Why Supply Chains Will Determine Who Wins
Quantum technologies are entering an industrialization phase. A recent CNAS report argues that over the next three to five years, quantum sensors and computers will begin moving from laboratories into…
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What mathematicians figured out about AI that most enterprises haven’t
Recent results suggest that research mathematics is no longer a purely speculative test case for AI. A growing set of examples shows AI contributing not just to short contest puzzles,…
