Multimodal AI | Data Brew | Episode 42

Data Brew by Databricks

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.