Join us for engaging sessions on the architecture and challenges of modern feature platforms.
We'll explore the essential elements and hurdles in building feature platforms today and share insights into Tecton's strategy for creating a scalable, Python-based feature platform suited for AI applications.
If you're interested in developing extensive, real-time AI applications using Python, or if you're keen to understand the intricacies of feature platform technology, this event is tailored for you.
Join Mahesh as he walks through Tecton’s journey to build a unified feature platform that powers large-scale real-time AI applications with only Python. He'll dive into how Tecton has navigated key tradeoffs like balancing developer experience with scalability and flexibility, while adapting to rapidly evolving data and ML engineering best practices.
This talk will decompose a modern feature platform in key components, describe a few common options for each component, gotchas in assembling them and some key architectural tradeoffs.
In this talk, Jose will show how the platform team at Cleo has built a production-ready Feature Platform using Feast.
