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LIVESTREAM
MLOps in Practice: Common Challenges and Lessons Learned
# Best Practices
# Data Products
# Maturity
The different practices and approaches that would ensure the success of your data products, distilled from doing MLOps at different clients from different industries and different levels of maturity:
- It's much more than technical stuff
- The "best" tool is not always the best solution
- Integrating MLOps in system and infrastructure with different levels of maturity
Speakers

Marouen Hizaoui
Senior Consultant @ Machine Learning Reply
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Mo Basirati
Senior Consultant/MLOps Lead @ Machine Learning Reply
Agenda
Track View
4:00 PM, GMT
-
4:15 PM, GMT
Stage 1
Opening / Closing
Musical Intro
4:15 PM, GMT
-
4:55 PM, GMT
Stage 1
Presentation
MLOps in Practice: Common Challenges and Lessons Learned
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

4:55 PM, GMT
-
5:00 PM, GMT
Stage 1
Opening / Closing
Q&A
5:00 PM, GMT
-
5:15 PM, GMT
Stage 1
1:1 networking
Networking
Event has finished
October 26, 4:00 PM, GMT
Online
Event has finished
October 26, 4:00 PM, GMT
Online