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

Posted May 30
# Juggling
# Dr. Seuss
# Feature Stores
# Real-time AI/ML
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SPEAKER
Nava Levy
Nava Levy
Nava Levy
Developer Advocate for Data Science and MLOps @ Redis

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.

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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.

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SUMMARY

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 :)

// 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

Building feature stores with Redis: https://redis.com/blog/building-feature-stores-with-redis-introduction-to-feast-with-redis

Feature stores for real-time AI and machine learning: https://www.kdnuggets.com/2022/03/feature-stores-realtime-ai-machine-learning.html

Feast feature store: https://feast.dev/blog/feast-benchmarks/

Tecton feature store: https://www.tecton.ai/blog/announcing-support-for-redis/

DoorDash feature store: https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/

Redis on Flash: https://redis.com/blog/redis-on-flash-now-3-7x-faster/

Ekata: Scaling Ekata's Identity Graph with Redis on Flash https://youtu.be/jFFMaZK3hXQ

AT&T: https://youtu.be/AXQt_oW9JEc

Block CashApp: https://www.youtube.com/watch?v=wOqBj1hst3M&t=3392s

iFood: Building a Real-time Feature Store with iFood: https://youtu.be/PsrYdjnCEvI

Better: Using Feast in a Ranking System: https://youtu.be/Vvfit9Slb8U

Uber: https://youtu.be/3Edcx1etACY Wix: https://youtu.be/E8839ENL-WY

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TRANSCRIPT

Quotes

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