Real-Time Machine Learning: Architecture and Challenges

Fresh data beats stale data for machine learning applications. This talk discusses the value of fresh data as well as different types of architecture and challenges of online prediction.

 

Speaker

Chip Huyen

Co-founder @Claypot AI

Chip Huyen is a co-founder of Claypot AI, a platform for real-time machine learning. Previously, she was with Snorkel AI and NVIDIA. She teaches CS 329S: Machine Learning Systems Design at Stanford. She’s the author of the book Designing Machine Learning Systems (O’Reilly, 2022).

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Date

Wednesday Dec 7 / 12:30PM PST ( 50 minutes )

Track

MLOps

Topics

Machine Learning Architecture Online Prediction

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