Operationalizing the Semantic Layer for AI and Scale: From Concept to Impact

ON-DEMAND EVENT

As AI and data democratization reshape how organizations use information, the semantic layer has emerged as a key enabler of scale, trust, and self-service. But what is it, why does it matter now, and how do you make it work across teams and tools?

In this fireside chat, Darrel Kent, Field CTO at GigaOm, Andrew Chabot, Senior Manager Data Engineering at FinThrive, and Rahul Pahuja, Field CTO at CData, unpacked the core concepts, practical applications, and architectural value of the semantic layer.

Whether you're scaling AI, delivering governed access, or simplifying your data landscape, this session offers clarity on what the semantic layer is - and how to make it work. We move beyond theory to show how architecture can deliver business-ready outcomes.

In this session, you'll learn: 

• What the semantic layer is - and why it matters now 

• How it enables governed, consistent, real-time access across business and technical teams 

• What to prioritize when evaluating semantic delivery platforms 

• How to build a compelling case for adoption - from both a technical and strategic lens

Fill in the form to access this on-demand session.