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
