Bridging the IT/OT gap with industrial data transformation

Manufacturers struggle to fully utilize industrial data due to the complexity of operational technology systems. Unlike IT data, OT data comes from diverse sources, has longer lifecycles, and lacks interoperability, hindering digital transformation.

This blog explores how Industrial DataOps bridges the IT/OT gap by converting raw operational data into structured formats for cloud analytics and AI. Topics include:

• Normalizing and contextualizing datasets
• Unified namespaces for better visibility
• AI for production optimization

Read the blog to see how manufacturers can achieve Industry 4.0 through data transformation.