AI in Industrial Automation vs Traditional Automation: What Actually Changes?

Examines the architectural differences between traditional fixed-logic industrial automation and AI-driven adaptive systems, arguing the real bottleneck is data infrastructure, not the models. Recommends event-driven MQTT data collection, a Unified Namespace, and enforced data quality before information reaches AI models.