# Multimodal AI | Data Brew | Episode 42 Page: https://stenobird.com/podcast/data-brew-by-databricks/multimodal-ai-data-brew-episode-42 Text version: https://stenobird.com/podcast/data-brew-by-databricks/multimodal-ai-data-brew-episode-42.md Podcast: [Data Brew by Databricks](https://stenobird.com/podcast/data-brew-by-databricks) Published: 2025-04-07T15:00:00+00:00 Episode link: https://www.buzzsprout.com/1370119/episodes/16873517-multimodal-ai-data-brew-episode-42.mp3 Audio file: https://www.buzzsprout.com/1370119/episodes/16873517-multimodal-ai-data-brew-episode-42.mp3 Processing state: processed JSON: https://stenobird.com/v1/public/podcasts/data-brew-by-databricks/episodes/multimodal-ai-data-brew-episode-42 Duration seconds: 2534 ## Resource 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 ... ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/data-brew-by-databricks/episodes/multimodal-ai-data-brew-episode-42/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/data-brew-by-databricks/multimodal-ai-data-brew-episode-42.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.