Enabling and Optimizing Agentic AI: Access, Performance and the Semantic Layer
About this episode
Alex Merced discusses bottlenecks in building Agentic AI Applications and how Dremio can help address them.
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 FREE Book - Apache Iceberg: The Definitive Guide FREE Book - Apache Polaris: The Definitive Guide Architecting an Apache Iceberg Lakehouse (50% off with code MLMerced) Find all of Alex Merced's blogs and resources at AlexMerced.com
People in this episode
Host: Alex Merced
Sponsors
Dremio
Mentioned in this episode
Organizations: Dremio
Products: Apache Iceberg: The Definitive Guide, Apache Polaris: The Definitive Guide, Apache Iceberg Lakehouse
More episodes of 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
- 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
Explore listener stats, chart rankings, contacts and more on the SELECT * FROM data.lake; podcast page.