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
![](https://qconsf.com/sites/qcon_sf/files/styles/medium/public/pictures/2022-07/chip%20huyen.jpeg?itok=n402ElBT)
Chip Huyen
Co-founder @Claypot AI, previously @Snorkel Ai & @NVIDIA
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).