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The MLOps Live Webinar Series

Session #6

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Breaking the Silos Between Data Scientists, Engineers, and DevOps with New MLOps Practices

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 Ecolab is accelerating the deployment of AI applications by using new MLOps methodologies, leveraging microservices and building easier processes for the teams to create a culture of collaboration
  2. How to create workflows that enable agile development and continuous delivery of machine learning (ML) to production
  3. How to incorporate distributed data preparation at scale into your ML pipeline (using tools such as DASK and Spark)
  4. How to create automated ML pipelines using open-sources technologies
  5. How to overcome political, cultural and technological barriers when adopting new ways of working on data science projects
Presented By
Greg Hayes,

Data Science Director, Ecolab

Yaron Haviv,

Co-Founder and CTO, Iguazio