Unlocking Data and AI
“Your newsletter has great content.”
“Gradient Flow newsletter is a fun read!”
“One of maybe 2-3 email newsletters that I regularly read through.”
“In-depth reports on specialized topics such as machine learning and AI technologies.”
“If you enjoyed O’Reilly’s great data newsletter, you should subscribe to @bigdata’s new Gradient Flow newsletter.”
Subscribe • Previous Issues 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 great, but the hallway conversations was where I got the inside scoop. The consistent message: deploying AI agents is…
Subscribe • Previous Issues 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 capital allocation discipline, not just software procurement review. Every function now has a case for AI…
Subscribe • Previous Issues 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 and a production-ready system is bridged by harness engineering: the discipline of building structured workflows,…
Subscribe • Previous Issues 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, but to open-ended mathematical work that requires literature search, cross-domain connection-making, revision, and verification. The important lesson for…
Something went wrong. Please refresh the page and/or try again.