AI is no longer the barrier—data is. Manufacturers can train promising models, but most struggle to scale AI across lines and plants because their data is inconsistent, uncontextualized, and trapped in legacy architectures.
This guide explains:
Why Industrial AI depends on solving the OT data problem first
How Unified Industrial Data Platforms enable repeatable, multi-site AI deployment
What capabilities differentiate commodity connectivity tools from true AI-enablement platforms
How enterprises are restructuring data pipelines to support real-time inference and closed-loop control
How to evaluate vendors using a structured, enterprise-ready checklist
If AI is part of your 2026 strategy, this guide shows how to lay the foundation for success.
