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On Juggling, Dr. Seuss and Feature Stores for Real-time AI

Real-time ML-based applications are on the rise but deploying them at scale for large datasets with low latency and high throughput is challenging. This talk will discuss the important role of feature stores for machine learning in deploying these applications.

By exploring a number of use cases in production, we will see how the choice of online data store and the feature store data architecture play important roles in determining its performance and cost. Throughout the presentation, we will illustrate key points by connecting them to juggling and Dr. Seuss! Stay tuned :)

Speakers
Nava Levy
Nava Levy
Developer Advocate for Data Science and MLOps @ Redis
Nava Levy
Nava Levy
Developer Advocate for Data Science and MLOps @ Redis
Agenda
4:00 PM
4:05 PM
Opening / Closing

Intro Song

4:06 PM
4:45 PM
Presentation

Presentation

Nava Levy
4:46 PM
4:59 PM
Opening / Closing

Q&A

5:00 PM
5:15 PM
1:1 networking

Networking

Event has finished
May 25, 4:00 PM, GMT
Online
Hosted by
MLOps Community
MLOps Community
Event has finished
May 25, 4:00 PM, GMT
Online
Hosted by
MLOps Community
MLOps Community