Watch The Recording

The MLOps Live Webinar Series

Session #5

Watch The Recording

On-demand

How to Build a Predictive Maintenance and Actionable Intelligence Solution at Scale: An Active IQ Case Study

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 NetApp built a solution for predictive maintenance and actionable intelligence that responds in real time to 10 trillion data points per month collected from storage controllers globally, on-premises and on AWS cloud.
  2. How to build AI solutions that leverage time series at scale for a fraction of the cost
  3. The process involved in migrating from Hadoop to a microservices, Kubernetes, serverless environment, and adopting an agile development approach
  4. How to decide whether to run your AI applications on premises, on the cloud or hybrid, and how to create the right balance for optimal cost and performance
Presented By
Shankar Pasupathy,

Sr Director, Active IQ AI and Data Engineering, NetApp

Yaron Haviv,

Co-Founder and CTO, Iguazio