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Multimodal AI | Data Brew | Episode 42
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Manage episode 475645200 series 2814833
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.
44 episodi
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on October 30, 2025 14:27 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 475645200 series 2814833
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.
44 episodi
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