Data silos trap organizations where security teams, IT operations, network teams and OT staff maintain separate systems - creating inconsistent responses when single events trigger actions across multiple groups. AI compounds this problem by introducing agent race conditions where automated systems fight each other, burning expensive tokens while DevOps scales resources during security incidents. Manufacturing organizations risk repeating organizational sprawl that plagued SOA migrations unless they consolidate perspectives.

Success requires returning to unified operations teams where specialists share common data platforms instead of maintaining separate Splunk instances, data warehouses and monitoring tools.

The session will cover:

• Advanced analytics and security capabilities to help optimize manufacturing processes;
• Real-world strategies for minimizing unplanned downtime;
• Integrating AI and automation into industrial systems for smarter, faster decision-making.