Integrating Tradition with Innovation

1min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

Traditional databases play a crucial role in the evolving landscape of AI by bridging the gap between foundational models and enterprise-specific knowledge. While large foundation models encapsulate broad knowledge, they lack access to the unique contexts stored within operational databases. Combining these operational systems with advanced techniques like vector indexing facilitates better interaction with AI. Additionally, the future of applications relies on flexible coding practices, influencing how these databases adapt to new AI-driven paradigms.

Google needs no introduction, and is renowned for its data and analytics capabilities.

Gerrit Kazmaier is the VP and GM for Database, Data Analytics and Looker at Google. He has a long history in the space, and in this episode he speaks with Sean Falconer about data and analytics in the AI era.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.