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E181: Why Multimodal Is the Future of AI Data Workloads

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Manage episode 505433216 series 3438596
Content provided by Robby (MTF); Tim (Essence VC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robby (MTF); Tim (Essence VC) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

181 episodes

Artwork
iconShare
 
Manage episode 505433216 series 3438596
Content provided by Robby (MTF); Tim (Essence VC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robby (MTF); Tim (Essence VC) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

181 episodes

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