Data Brew by Databricks
Multimodal AI | Data Brew | Episode 42
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!
42:14
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Quick takeaways
- LanceDB addresses the limitations of traditional storage systems like Parquet by optimizing multimodal data management for diverse types including images, videos, and vectors.
- The future of AI indicates a shift towards holistic systems that integrate various data modalities, emphasizing the need for advancements in multimodal capabilities and cybersecurity measures.
Deep dives
From Finance to Multimodal AI
The journey from traditional finance to the creation of a multimodal AI database showcases the evolution of Chang She’s career. Initially involved in quantitative finance, She transitioned to developing tools for data science, starting with the popular Pandas Library. His experience at Tubi TV highlighted two key challenges: significantly improving the iteration speed for machine learning research while facing difficulties when managing diverse data types like images and videos. This led to the founding of LanceDB, which aims to resolve the complexities associated with multimodal data management and retrieval.
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