
Challenges and Solutions for OT Data ETL in the Face of the AI Wave
OT data governance refers to the systematic management, standardization, and quality control of various data generated in industrial environments, enabling effective support for enterprise decision-making and AI applications. It encompasses the entire process from data acquisition, format conversion, quality checking, access control, and access mechanisms to subsequent storage and application. Unlike IT data governance, OT data governance must consider challenges such as the diversity of equipment communication protocols, the complexity of data types, real-time requirements, data security, and edge computing capabilities.



