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

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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.