MLOps Community
timezone
+00:00 GMT
SIGN IN
  • Home
  • Events
  • Content
  • People
  • Messages
  • Channels
  • Help
Sign In
Sign in or Join the community to continue

Real-time Machine Learning: Features and Inference

Posted Nov 29, 2022 | Views 169
# Real-time Machine Learning
# ML Inference
# ML Features
Share
SPEAKERS
Sasha Ovsankin
Sasha Ovsankin
Sasha Ovsankin
Software Engineer @ LinkedIn

Sasha is currently a Tech Lead of Machine Learning Model Serving infrastructure at LinkedIn, worked also on Feathr Feature Store, Real-Time Feature pipelines, designed metric platforms at LinkedIn and Uber, and was co-founder in two startups. Sasha is passionate about AI, Software Craftsmanship, improvisational music, and many more things.

+ Read More

Sasha is currently a Tech Lead of Machine Learning Model Serving infrastructure at LinkedIn, worked also on Feathr Feature Store, Real-Time Feature pipelines, designed metric platforms at LinkedIn and Uber, and was co-founder in two startups. Sasha is passionate about AI, Software Craftsmanship, improvisational music, and many more things.

+ Read More
Rupesh Gupta
Rupesh Gupta
Rupesh Gupta
Senior Staff Engineer @ LinkedIn

Rupesh is a Senior Staff Engineer in the AI team at LinkedIn. He has 10 years of experience in search and recommender systems.

+ Read More

Rupesh is a Senior Staff Engineer in the AI team at LinkedIn. He has 10 years of experience in search and recommender systems.

+ Read More
SUMMARY

Moving from batch/offline Machine Learning to more interactive "near" real-time requires knowledge, team, planning, and effort. We discuss what it means to do real-time inference and near-real-time features when to do this move, what tools to use, and what steps to take.

+ Read More

Watch More

58:24
Posted Nov 22, 2022 | Views 402
# Real-time Machine Learning
# Accountability
# MLOps Practice
58:02
Posted May 09, 2022 | Views 319
# Infrastructure
# Video Machine Learning
# Runway ML
52:38
Posted Apr 29, 2022 | Views 659
# FastAPI
# ML Platform
# Building Communities