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E181: Why Multimodal Is the Future of AI Data Workloads
Manage episode 505433216 series 3438596
Chang She is Co-Founder & CEO of LanceDB, the multimodal lakehouse platform. Their open source data format lance has over 5K stars on GitHub and is a modern columnar data format for ML and LLMs implemented in Rust.
LanceDB has raised $41M from investors including Theory Ventures, CRV, and Essence VC.
In this episode, we dig into:
- Early focus: autonomous vehicles; solved real-time analysis limits with Lance format → 9,000% performance gain. 
- Multi-modal AI taking off (vision, audio, text); Midjourney & Runway as pioneers; audio now a major category. 
- How they built trust through open source. 
- Integrated workflows (data prep + search + embedding) going beyond vector DBs; education needed to show full value. 
- Cloud/serverless launch in 2023–24 enabled seamless local-to-production use. 
- Future bets: audio infra, robotics, spatial reasoning; vector DBs risk irrelevance if they don’t evolve. 
184 episodes
Manage episode 505433216 series 3438596
Chang She is Co-Founder & CEO of LanceDB, the multimodal lakehouse platform. Their open source data format lance has over 5K stars on GitHub and is a modern columnar data format for ML and LLMs implemented in Rust.
LanceDB has raised $41M from investors including Theory Ventures, CRV, and Essence VC.
In this episode, we dig into:
- Early focus: autonomous vehicles; solved real-time analysis limits with Lance format → 9,000% performance gain. 
- Multi-modal AI taking off (vision, audio, text); Midjourney & Runway as pioneers; audio now a major category. 
- How they built trust through open source. 
- Integrated workflows (data prep + search + embedding) going beyond vector DBs; education needed to show full value. 
- Cloud/serverless launch in 2023–24 enabled seamless local-to-production use. 
- Future bets: audio infra, robotics, spatial reasoning; vector DBs risk irrelevance if they don’t evolve. 
184 episodes
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