Data Brew by Databricks Multimodal AI | Data Brew | Episode 42
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Apr 7, 2025 Chang She, CEO and Co-founder of LanceDB, shares his incredible journey from helping create the Pandas Library to developing a cutting-edge database for multimodal AI. He dives into the limitations of traditional data storage systems and explains how LanceDB efficiently handles diverse data types like images and videos. The conversation highlights the growing significance of multimodal AI in enterprises, future trends, and even offers spicy predictions for the AI landscape in 2025. Get ready for some intriguing insights!
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From Pandas to LanceDB
- Chang She, CEO of LanceDB, shared his journey from Pandas to LanceDB.
- He faced challenges with multimodal data (images, video, vectors) at Tubi TV, inspiring LanceDB's creation.
Multimodal AI Explained
- Multimodal AI involves managing and extracting insights from diverse data types.
- It goes beyond simply converting images to vectors.
Size Matters in Multimodal AI
- In multimodal AI, data size significantly impacts performance.
- Larger data types (like embeddings) lead to memory, bandwidth, and management issues.