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 --- Send in a voice message: https://podcasters.spotify.com/pod/show/nicolaygerold/message