AI's Impact in the World of Structured Data Analytics (w/ Juan Sequeda, data.world)
About this episode
Juan Sequeda is a principal data scientist and head of the AI Lab at data.world, and is also the co-host of the fantastic data podcast Catalog and Cocktails.
This episode tackles semantics, semantic web, Juan's research in how raw text-to-SQL performs versus text-to-semantic layer, and where we both believe AI will make an impact in the world of structured data analytics.
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.
Get every episode summarized
Each time The Analytics Engineering Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Analytics Engineering Podcast
The Iceberg ecosystem today (w/ Anders Swanson)
The Analytics Engineering Podcast
Apache Iceberg and the catalog layer (w/ Russell Spitzer)
The Analytics Engineering Podcast
AI and the data lake (w/ Lauren Anderson)
The Analytics Engineering Podcast
Inside Snowflake's AI roadmap (w/ Chris Child)
The Analytics Engineering Podcast