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MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling

MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling

FromMLOps.community


MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling

FromMLOps.community

ratings:
Length:
63 minutes
Released:
Jul 25, 2020
Format:
Podcast episode

Description

We asked what you wanted to hear next on our Coffee sessions and the vote was in favor of feature stores! Today the usual suspects Demetrios Brinkmann and David Aponte sat down to talk with Jim Dowling CEO of Logical Clocks and Venkata Pingali CEO of scribble data to talk about feature stores, what they are, why we need them, some business implications and everything in between!   
As always if you enjoyed the session let us know or reach out to us in slack!   
Check out what Jim is doing around hopsworks and open sourced feature stores at Logical Clocks: https://www.logicalclocks.com/  
Find out more about the feature stores that Venkata is building at Scribble Data: https://www.scribbledata.io/  
Join our slack community: https://join.slack.com/t/mlops-community/shared_invite/zt-391hcpnl-aSwNf_X5RyYSh40MiRe9Lw  
Follow us on Twitter: @mlopscommunity  
Sign up for the next meetup: https://go.mlops.community/register   
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/  
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/
Released:
Jul 25, 2020
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.