Session 2 of 4

Connecting AI to Enterprise Data

Turning business data into usable context

Proposed content. This is our suggestion for the slot, not a requirement. The session partner owns the story, the tools and the exercise. What stays fixed is the shared dataset, so the four sessions add up to one day.

What this session covers

How enterprise data, applications and workflows give AI the context it needs to produce relevant business insight.

  • Enterprise data sources
  • Structured and unstructured information
  • Data quality and accessibility
  • Business applications and workflows
  • AI-assisted analysis
  • Enterprise implementation considerations

The question this session answers

Key question

How does operational data become usable context for AI?

What participants should leave with

An understanding that enterprise AI depends on connected, trusted and usable business context — not on isolated prompts or standalone tools.

What we supply

DatasetThe same sanitized DataCo supply chain extract used across all four sessions — 180,519 order lines. Source Data
Data dictionaryField definitions, units, and whether each value is source data, derived evidence or a workshop assumption.
RoomScreen, connectivity and a facilitator to hand over and hand back.
AudienceC-level and senior operations, supply chain and finance leaders.

What we ask

  • Demonstrate on the shared dataset rather than a prepared example, so the day holds together as one story.
  • Tell us which parts of this outline you want to keep, change or drop — early enough to brief the room.
  • Say what you need from us technically: accounts, connectors, file formats, anything to prepare in advance.