How AI Is Built

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:

LinkedIn

SuperDuperDB:

Docs
Website
LinkedIn

Nicolay Gerold:

LinkedIn
X (Twitter)

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

Show Notes

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

What is How AI Is Built ?

How AI is Built dives into the different building blocks necessary to develop AI applications: how they work, how you can get started, and how you can master them. Build on the breakthroughs of others. Follow along, as Nicolay learns from the best data engineers, ML engineers, solution architects, and tech founders.