On Juggling, Dr. Seuss and Feature Stores for Real-time AI/ML // Nava Levy // MLOps Meetup #101
MLOps Community Meetup #101! Last Wednesday we talked to Nava Levy, Developer Advocate for Data Science and MLOps of Redis.
//Abstract
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 discusses the important role of feature stores for machine learning in deploying these applications.
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. Throughout the presentation, Nava illustrates key points by connecting them to juggling and Dr. Seuss! Stay tuned :)
// Bio
Nava is a Developer Advocate for Data Science and MLOps at Redis. She started her career in tech with an R&D Unit in the IDF and later had the good fortune to work with and champion Cloud, Big Data, and DL/ML/AI technologies just as the wave of each of these was starting.
Nava is also a mentor at the MassChallenge accelerator and the founder of LerGO—a cloud-based EdTech venture. In her free time, she enjoys cycling, 4-ball juggling, and reading fantasy and sci-fi books.
// Jobs board
https://mlops.pallet.xyz/jobs
// Related links
KDnuggets article: https://www.kdnuggets.com/2022/03/feature-stores-realtime-ai-machine-learning.html
Feast with Redis Quickstart tutorial: https://redis.com/blog/feast-with-redis-tutorial-for-machine-learning/
Linkedin: https://il.linkedin.com/in/nava1
LerGO: www.lergo.org.il (focused on Hebrew, Arabic)
LinkedIn's Feathr on Azure with Redis Slack: feathrAI.slack.com
Slides: https://drive.google.com/file/d/1CXNBhgvGi16KPEuk2Nl5NsyQpgcXl99e/view?usp=sharing
Linkedin's Feathr on Azure with Redis: https://github.com/linkedin/feathr/blob/main/docs/quickstart.md
Feast with Redis quickstart: https://redis.com/blog/feast-with-redis-tutorial-for-machine-learning/
Feast on Azure with Redis: https://github.com/Azure/feast-azure
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