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The MLOps Live Webinar Series

Session #2

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How to Save Costs (& Time) on Bringing AI to Production

The MLOps Live Webinar Series is a complimentary webcast focusing on managing and automating machine learning pipelines to bring data science into real business applications. The sessions go beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility and data access.

In this session you will learn:

  1. How industry experts are saving costs and getting to market faster, by streamlining the operationalization of ML (real-life use cases will be shown)
  2. How to run Al models in production at scale, without scaling your costs
  3. How to reduce time and resource consumption by leveraging ML pipeline automation, using open source technology
Presented By
Jason Evans,

Director of DXP Innovation at Quadient

Yaron Haviv,

Co-Founder and CTO, Iguazio