42% of enterprise AI projects have been delayed or failed outright. The root cause isn’t bad algorithms. It’s data that is fragmented, ungoverned, and unprepared for what AI demands. (Fivetran/Redpoint survey, 400+ data professionals)
Join QuickLaunch Analytics CEO Adam Crigger and Fivetran’s Kelly Kohlleffel (Sr. Global Director, Partner Sales Engineering) for a practical session on what AI readiness actually looks like inside real enterprises.
What we’ll cover:
- Why most AI projects stall and what the research says about the root causes
- A framework for building data infrastructure that supports both BI and AI
- Live demo: Databricks Genie and Microsoft Fabric Copilot running on a governed enterprise data foundation
Who this is for:
- CIOs, VPs of Analytics, BI Managers, and data leaders
- Organizations running JD Edwards, NetSuite, Vista, OneStream, or Salesforce
- Teams evaluating AI readiness or trying to move past the pilot stage
