Manufacturers' AI adoption held back by fragmented IT/OT data and poorly defined projects
According to IndustryWeek, manufacturers are experimenting aggressively with AI, but fragmented IT, OT and IoT data hinders scaling. Other analyses say automation project failures often stem from goals set before deployment, and that AI use is entering a more mature phase (September 14–18).
Who is affected and how
- plant manager
- Before starting an AI project, organising the data and defining the problem precisely matter more than the choice of technology.
- engineer
- Unifying IT, OT and IoT data is a precondition for scaling agentic AI.
- SME owner
- Smaller plants should start with a small, well-defined process problem.
Sources
- Council Post: How Manufacturing Can Win The AI Raceforbes.com · Sep 14, 2026
- What Manufacturing Leaders Need to Know About Scaling Agentic AI - IndustryWeekindustryweek.com · Sep 14, 2026
- Industry: AI adoption among manufacturers enters a more mature phasetheedgemalaysia.com · Sep 14, 2026
- A manufacturing blueprint for secure agentic AIgoogle cloud · Sep 14, 2026
- The Automation Trap Manufacturers Keep Falling Into - Industrial Equipment Newsien.com · Sep 18, 2026 · magyar
Machine-generated summary based on the titles and excerpts of the source articles. The facts come from the linked article.