Closing the AI Readiness Gap: How AI-Leading Orgs Build Their Data Stack Differently

AI is on every roadmap, yet most organizations still aren’t seeing real ROI. While proof-of-concept projects look promising, they often falter in production because the data foundation can’t support scalable, trustworthy AI outcomes.  

In fact, only a small fraction of companies have achieved true data readiness — and the gap between leaders and the rest isn’t budget, it’s how they approach data preparedness itself. 

In this panel, Analytics8 CTO Patrick Vinton and select technology partners – dbt, ThoughtSpot, and Databricks – discuss key findings from our AI Data Readiness Research and what separates AI leaders from the rest.

We share proven approaches to building an AI-ready data stack and moving beyond experimentation to real business impact. 

What you’ll learn:

• What the research reveals about the gap between AI ambition and data readiness 
• The core building blocks of an AI-ready data stack (architecture, integration, governance, and enablement)
• Where AI leaders focus technology investments, and where they deliberately do not 
• Advice from AI leaders at our technology partners: Databricks, dbt, and ThoughtSpot

​On the panel:

• Patrick Vinton, CTO at Analytics8
• Anjali Kumari,  VP of Product Management at ThoughtSpot
• Russel Christopher, Senior Director of Product Strategy at dbt
• Daniel Lacouture, Solutions Architect at Databricks