The field manual for machine learning in manufacturing · updated September 1, 2026
ManufacturingML
Standards

Evidence rules we hold ourselves to

Reference material is only useful if you can tell where every number comes from. These are the rules.

Attribution

Every market figure is attributed inline to its source (e.g., IoT Analytics for market sizing and use-case shares). Figures we cannot attribute do not appear. Public company results (Renault, Georgia-Pacific) are cited as published.

Vendor-reported labeling

Results reported by vendors about their own deployments — including JEMBA's published scrap and energy figures — are always labeled vendor-reported and should be weighed as such. We do not convert vendor claims into unattributed facts.

Update cadence

Entries and the adoption report refresh on a quarterly cycle, aligned with the re-score cycle of our sister evaluation site. Material changes are dated.

Changelog
  • 2026-09-01 — Initial publication: 15 entries, 2026 Adoption Report (10 insights), use-case library, AI & jobs analysis.

Ownership & independence disclosure

ManufacturingML.com is published by TEEPTRAK SAS (Paris, France), which also operates JEMBA, an industrial-ML vendor. This site is educational reference, not a review site; when JEMBA appears it is as a labeled example with vendor-reported figures, under the same attribution rules as everyone else. Rubric-scored platform comparisons live on IndustrialProcessAI.com, where the same publisher relationship is disclosed alongside the scoring guardrails. No vendor pays for coverage on this site.