Using machine learning (ML) solutions effectively can be tricky, with so many challenges across the ML model lifecycle.
How can you know if more people are churning in production than when you trained your model? Can you determine if your underlying business process fundamentally shifted? Figuring out how to proactively identify when and where your models are misbehaving is critical to MLOps success.
Watch now to:
Speakers
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Tim Wright, PhD
Solutions Architect
Axis Group
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Sean Anderson
Head of Product Marketing
StreamSets
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WYND’s DataOps Journey with StreamSets
Speaker: CDO from Thematic Groupe [WYND]
When: March 9th at 10h30
Where: TBD
[Add to calendar]
Attend StreamSets’ CEO’s keynote at the main stage
DataOps: A Paradigm Shift for Modern Data Integration
Speaker: Girish Pancha, CEO and Co-Founder, StreamSets
When: TBD
Where: Business Track Stage
[Add to calendar]
Schedule your demo at Big Data Paris today
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