Dan Galavan

Semantic Layers are not new. When we see BI + Self Service that typically has a Semantic Layer aspect to it. However, for reasons Agentic AI related, lately we are seeing a Semantic Layer resurgence. Prompted by the requirement to “talk to our data”, the goal is "augmenting BI with AI”. So how do we approach this from a Strategic Data & AI perspective? How do we position Semantic Layers correctly when it comes to Data Solution delivery? What are some of the key steps? In this session, Dan will share 7 Strategic AI & Semantic Layer tips, using Snowflake Platform live demos, covering: - The Semantic Layers Origin Story - Why AI is prompting a Semantic Layer ‘resurgence’ - AI augmented design improvements, Human in the Loop, and Quality Assurance - Data Modeling as a key skillset in this context - Tech Stack compatibility and example navigation criteria - The Semantic Layer Open Standard (OSI) - Semantic Layer & Agentic AI Governance Key Takeaways: 1. How & why Semantic Layers are making a comeback 2. How to position Semantic Layers in Data & AI Strategy 3. How Agentic AI’s Semantic Layer usage can prompt Data Architecture modernization