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#003 AI Inside Your Database, Real-Time AI, Declarative ML/AI

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Manage episode 428522581 series 3585930
Content provided by Nicolay Gerold. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nicolay Gerold 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://ppacc.player.fm/legal.

If you've ever wanted a simpler way to integrate AI directly into your database, SuperDuperDB might be the answer. SuperDuperDB lets you easily apply AI processes to your data while keeping everything up-to-date with real-time calculations. It works with various databases and aims to make AI development less of a headache.

In this podcast, we explore:

  • How SuperDuperDB bridges the gap between AI and databases.
  • The benefits of real-time AI processes within your data deployment.
  • SuperDuperDB's framework for configuring AI workflows.
  • The future of AI-powered databases.

Takeaways

  • SuperDuperDB enables developers to apply AI processes directly to their data stores
  • The platform supports real-time computation of embeddings or classifications, keeping the data deployment up to date
  • SuperDuperDB provides a framework for configuring AI processes that work in close combination with the data deployment
  • The platform supports a variety of databases, including operational and analytical databases
  • SuperDuperDB aims to simplify AI development by abstracting the data layer and infrastructure

Duncan Blythe:

SuperDuperDB:

Nicolay Gerold:

Chapters

00:00 Introduction to SuperDuperDB

04:19 Real-time Computation and Data Deployment

13:46 Bringing Compute and Database Closer Together

29:30 Declarative Machine Learning with SuperDuperDB

35:09 Future Plans for SuperDuperDB

SuperDuperDB, AI, databases, embeddings, classifications, data deployment, operational databases, analytical databases, AI development, data science

  continue reading

59 episodes

Artwork
iconShare
 
Manage episode 428522581 series 3585930
Content provided by Nicolay Gerold. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nicolay Gerold 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://ppacc.player.fm/legal.

If you've ever wanted a simpler way to integrate AI directly into your database, SuperDuperDB might be the answer. SuperDuperDB lets you easily apply AI processes to your data while keeping everything up-to-date with real-time calculations. It works with various databases and aims to make AI development less of a headache.

In this podcast, we explore:

  • How SuperDuperDB bridges the gap between AI and databases.
  • The benefits of real-time AI processes within your data deployment.
  • SuperDuperDB's framework for configuring AI workflows.
  • The future of AI-powered databases.

Takeaways

  • SuperDuperDB enables developers to apply AI processes directly to their data stores
  • The platform supports real-time computation of embeddings or classifications, keeping the data deployment up to date
  • SuperDuperDB provides a framework for configuring AI processes that work in close combination with the data deployment
  • The platform supports a variety of databases, including operational and analytical databases
  • SuperDuperDB aims to simplify AI development by abstracting the data layer and infrastructure

Duncan Blythe:

SuperDuperDB:

Nicolay Gerold:

Chapters

00:00 Introduction to SuperDuperDB

04:19 Real-time Computation and Data Deployment

13:46 Bringing Compute and Database Closer Together

29:30 Declarative Machine Learning with SuperDuperDB

35:09 Future Plans for SuperDuperDB

SuperDuperDB, AI, databases, embeddings, classifications, data deployment, operational databases, analytical databases, AI development, data science

  continue reading

59 episodes

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