Machine Learning4 min read
AI Demand Forecasting in Supply Chain: Accuracy That Pays
AI demand forecasting in supply chain is under 15% at large firms today. Pilots often lift accuracy 5–10% — here is what turns models into inventory gains.
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Notes from the build floor
Practical, sourced writing on applied AI, machine learning, and automation — what actually works in production, and why.
NLP29 Jul 2026
How to Build Enterprise RAG That Survives Production
How to build enterprise RAG teams can trust: 57% already saw confident wrong answers from bad context. Prioritize hybrid retrieval and governed definitions.
4 min readReadComputer Vision13 Jun 2026
Computer Vision for Quality Inspection: From 70% to 99% Without Adding Headcount
Manual visual inspection misses 20-30% of defects and degrades within hours. Modern computer-vision systems hit 95-99% accuracy at production speed. Here's how automated visual inspection works and where it pays off.
3 min readReadESG & Climate Data11 Jun 2026
CSRD and Scope 3: Why GHG Accounting Just Became a Data Engineering Problem
The EU's CSRD makes Scope 3 emissions reporting mandatory and auditable under ESRS E1. Here's what's actually required, who's in scope after the Omnibus changes, and why credible disclosure depends on activity-level data.
3 min readReadAI & Automation8 Jun 2026
Agentic AI in Business Automation: What Actually Ships in 2026
AI agents dominate the hype cycle, but only 23% of organizations have scaled them. Here is what separates production agentic automation from stalled pilots — and how to build for the gap.
3 min readRead