Insights

How I think about AI in production.

What I have learned getting AI past the demo and into production inside regulated businesses.

The Invisible 90%: Why AI Projects Fail After the Demo

Talk · AIPMX, 2026

The demo is the easy 10%. Governance, evaluation, model risk and change management are the invisible 90%, and they are where most AI projects quietly die.

Fine-tuning open LLMs past the frontier models

Talk · Generative AI World Summit & MLOps World

How a well-scoped fine-tune on open models can beat foundation models on a specific task, at a fraction of the cost and with full control of your data and infrastructure.

Optimising multi-GPU training at scale

Talk · MLOps Community

Where large-model training breaks down across many GPUs, and the optimisation work, with MIT/ISTA researchers, that fixes the bottlenecks.