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MLOps.community

Weekly talks and fireside chats about everything that has to do with the new space emerging around D

Episodes

Total: 453

Coffee Sessions #24 with Sara Robinson of Google, Machine Learning Design Patterns co-hosted by Vish

Coffee Sessions #23 with Todd Underwood of Google, Followups from OPML Talks on ML Pipeline Reliabil

MLOps community meetup #45! Last Wednesday, we talked to Joe Reis, CEO/Co-Founder of Ternary Data.

Coffee Sessions #22 with Carl Steinbach of LinkedIn, Deep in the Heart of Data. //Bio Carl is a Sen

ML and Encryption - It's all about secure insights #7! In this episode, we've invited Théo Ryffel, F

**Privacy-preserving ML with Differential Privacy** Differential privacy is without a question one o

MLOps community meetup #44! Last Wednesday, we talked to Savin Goyal, Tech lead for the ML Infra tea

Coffee Sessions #21 with Benjamin Rogojan of Seattle Data Guy, A Conversation with Seattle Data Guy

Coffee Sessions #20 with Neal Lathia of Monzo Bank, talking about Monzo Bank - An MLOps Case Study

**The intersection between DataOps and privacy** DataOps is considered by many as the new era of dat

**Are Privacy Enhancing Technologies a myth** Data Privacy and machine learning are here to stay, a

Coffee Sessions #19 with Barr Moses of Monte Carlo, Introducing Data Downtime: How to Prevent Broken

MLOps community meetup #43! Last Wednesday, we talked to Nathan Benaich, General Partner at Air Stre

**AI and ethical dilemmas** Artificial Intelligence is seen by many as a vehicle for great transfo

MLOps community meetup #42! Last Wednesday, we talked to Mark Craddock, Co-Founder & CTO, Global

What are regulations saying about data privacy? We are already aware of the importance of using Mach

In this episode, we talked to Elizabeth Chabot, Consultant at Deloitte, about When You Say Data Scie

MLOps community meetup #41! Last Wednesday was an exciting episode that some attendees couldn't help

Coffee Sessions #18  with Luigi Patruno of ML in Production, a Centralized Repository of Best P

This is the first episode of a podcast series on Machine Learning and Data privacy.  Machine Le