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The MLOps Live Webinar Series

Session #8

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Building ML Pipelines Over Federated Data & Compute Environments

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’ll learn about:

  1. Constructing an ML pipeline from heterogeneous data sources and compute environments
  2. Handling aspects of data replication and synchronization across cloud environments
  3. Bringing compute to data or data to compute – which is better and when?
  4. Data tiering and caching strategies to reduce costs and TCO
  5. Building one stack that works across different cloud and on-prem environments 
Presented By
Mike Oglesby,

Technical Marketing Engineer, AI, NetApp

Yaron Haviv,

Co-Founder and CTO, Iguazio