85% of data science projects still fail. Here’s the pattern we’ve seen in 10 years of fixing them.
Gartner first published the 85% figure in 2017. Nine years later, it has not moved. That alone should tell you the problem is not in the choice of framework, the size of the model, or the GPU budget. Across a decade of rescue engagements, the pattern is remarkably consistent. The project was scoped against a […]
What we learned co-founding RiskFin-IQ: the five traps of AI-native fintech
When you advise on AI in financial services, you learn to talk fluently about risk, compliance, and explainability. When you co-found a fintech and put your own balance sheet behind the predictions, you learn what those words actually cost. Trap one: assuming clean data exists somewhere. It does not. Every invoice we ingested arrived in […]
Why agentic AI is the only architecture worth building toward in retail
For two decades, retail analytics has followed the same pattern: ingest history, train a forecasting model, surface a number on a dashboard, and hope a human acts on it. That pattern is exhausted. The ceiling is not algorithmic, it is organisational. A demand forecast that arrives in a planner’s inbox at 7 a.m. competes with […]