Multimodal AI Data Brew Episode 42

In this episode, Chang She, CEO and Co-founder of LanceDB, discusses the challenges of handling multimodal data and how LanceDB provides a cutting-edge solution. He shares his journey from contributing to Pandas to building a database optimized for images, video, vectors, and subtitles. Highlights include: - The limitations of traditional storage systems like Parquet for multimodal AI. - How LanceDB enables efficient querying and processing of diverse data types. - The growing importance of multimodal AI in enterprise applications. - Future trends in AI, including a shift from single models to holistic AI systems. - Predictions and "spicy takes" on AI advancements in 2025.

You can listen to Multimodal AI Data Brew Episode 42 online on Radio and Podcast. Open the player on this page to stream the available audio.

Multimodal AI Data Brew Episode 42 is an episode from Data Brew by Databricks by Databricks.

This episode is 42:14 long.

This episode was published on Apr 7, 2025.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from Data Brew by Databricks when more episodes are available from the podcast feed.