Weekly Roundup

Podcast

MLOps Critics with Matthijs Brouns from Xccelerated.io - MLOps is too tool-driven, don't let FOMO drive you to pick the latest feature/model/evaluation/ store but pay closer attention to what you actually need to release more safely and reliably.

Meetup
On Juggling and Feature Stores with Nava Levy from Redis - By exploring a number of use cases in production, we see how the choice of online data store and the feature store data architecture play important roles in determining its performance and cost.

Blog
DVC Feedback with Vinay Patel from GoCardLess - We find the ML tooling space quite noisy and that the industry hasn’t converged on a standard ML tooling stack. Hence, we’re sharing some highlights of our experience with DVC to help you evaluate whether it’s a good fit in your setting.

Lighting Talk
Scaling Real-Time ML with Peeyush Agarwal from Chime - Peeyush Agarwal explains two key pieces of the ML infrastructure at Chime - the feature store and ML monitoring.