Notes on data, AI and delivery
Blog
Field notes, engineering write-ups and short essays from the people doing the work.
Latest
10 June 2026
Improving conversion rate optimisation with AI and machine learningHow behaviour, personalisation and predictive models turn website data into higher conversion — and what must stay governed when they do.
Read12 March 2026
Seven trends shaping ML engineeringAutoML, edge inference, explainability, federated learning, sustainable AI, advanced NLP and MLOps — the shifts that will define how models reach production.
Read15 January 2026
Bridging data engineering and analyticsEngineering and analytics often run in silos. Closing that gap improves data quality, shortens delivery, and produces insights operators can act on.
Read8 January 2026
Recommendations that reach productionInsight that dies in a slide pack is not a system failure downstream — it is a design failure upstream. Ranked options need a path into the systems people already run.
Read12 December 2025
Enhance the estate. Do not replace it by default.Rip-and-replace programmes fail quietly. The better path starts from the infrastructure already in place and earns the right to change it.
Read