From Data to Decisions: How AI Unlocks the Hidden Value in Business Data and Content

About this webinar

In this webinar, we demonstrated how to make AI truly useful in the enterprise, starting with what matters: real data, operational content, and intelligent system diagnostics.

Key takeaways:

• Why many AI projects fail (and how to avoid it)
• How to unite structured data and document content
• How to apply AI close to core systems (Data Edge)
• How to make business documents queryable (Content Edge)
• How to use Rocket EVA for AI-driven diagnosis:
  • Natural language querying of IT systems
  • Rapid identification of the cause of an application problem
  • Guided navigation down to the technical level (database, subsystems, jobs, processes)
• How to obtain reliable, traceable, and business-ready insights

Result: Moving from "what's happening?" to "why is it happening and where to intervene."

What we saw

AI-driven operations with Rocket EVA

A key focus of the webinar was the use of Rocket EVA to bring AI to IT operations:

• Querying systems in natural language
• Automatic correlation between events, data, and application components
• Guided problem diagnosis
• Complete visibility into:
  • databases
  • subsystems
  • jobs and batch processes
  • application components

In practice: less time spent looking for the problem, more time solving it.

Key takeaways

AI creates value when:

• It has access to real-world context
• It connects data, content, and operations
• It supports decision-making and troubleshooting

With Rocket Software:

• Data Edge → data insights
• Content Edge → knowledge from documents
• EVA → understanding and diagnosing operational processes

All three dimensions work together.

In short

Not only understanding what's happening, but also why it's happening and where to intervene.