The Manufacturer's Guide
to Data & AI
Deep-dive pillars, practical tools, industry frameworks, and research — built for OT/IT teams and operations leaders building data-driven factories.
Core knowledge areas
Each pillar is a structured authority guide built around real manufacturing data challenges — from raw sensor data to autonomous operations.
Data Readiness
Assess, audit, and prepare your factory data before you build anything on top of it. The prerequisite for every AI and analytics project.
Explore pillar 02Data Engineering
Integrate ERP, MES, SCADA, and shop-floor systems into clean, reliable pipelines. The foundation that makes every downstream system trustworthy.
Explore pillar 03Infrastructure & Deployment
Cloud, on-premise, or hybrid — architect and deploy the right stack for your plant, connecting around legacy equipment rather than replacing it.
Explore pillar 04Analytics & BI
Turn OEE, OTIF, and WIP data into dashboards and reports your production teams actually trust and act on — live, not end-of-shift summaries.
Explore pillar 05AI in Manufacturing
Predictive maintenance, quality inspection, demand forecasting — what actually works on a real plant floor, built on data that makes them reliable.
Explore pillar 06Continuous Optimization
Keep models from drifting and your data foundation healthy as lines, products, and demand change. The difference between a pilot and a system.
Explore pillarAlso in the Academy
See what your factory
data can do
Book a discovery call with iontek.io's manufacturing data team. No pitch decks — a direct conversation about your plant's data reality.