Enabling and Optimizing Agentic AI: Access, Performance and the Semantic Layer

9/5/2025

SELECT * FROM data.lake;

0:00

14:58

x Merced discusses three bottlenecks in building Agentic AI Applications and how platforms like Dremio can address them.
Get hands-on with Dremio at Dremio.com

Find all of Alex Merced's blogs and resources at AlexMerced.com

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Enabling and Optimizing Agentic AI: Access, Performance and the Semantic Layer

SELECT * FROM data.lake;

More episodes from "SELECT * FROM data.lake;"

The Dremio Agentic Lakehouse - AI, Apache Iceberg, and more

Lakehouse Catalogs Beyond Apache Iceberg, What could they Look Like?

Understanding the role of MCP, Langchain and Agent2Agent

Enabling and Optimizing Agentic AI: Access, Performance and the Semantic Layer

Data News: Snowflake/Databricks, Apache Iceberg v3

BONUS: Data Lakehouse Crash Course (Polaris, Nessie, Unity, Gravitino, Lakekeeper and more!)

Dremio 25.2 - Hybrid Lakehouse Catalog, Unity and Polaris connectors, Dark Mode

21 - The Value Propositions of the Dremio Lakehouse Platform

FREE Apache Iceberg Crash Course

20 - Data Sharing in the Dremio Lakehouse