In this session, we are joined by Michael Oglesby, Technical Marketing Engineer, AI at NetApp, and Yaron Haviv, Co-Founder and CTO at Iguazio (https://www.iguazio.com/).
We discuss constructing ML pipelines across federated data and computing environments, as well as building production-ready AI applications that work in hybrid environments.
Also discussed:* Handling aspects of data replication and synchronization across cloud environments.* Bringing compute to data or data to compute - which is better and when?* Data tiering and caching strategies to reduce costs and TCO

Learn more about our MLOps solution: https://www.iguazio.com/mlops/

Webinar Breakdown:
00:00 - 01:37 - Intro & Agenda
01:38 - 05:06 - Federated Data and ML Pipelines
05:07 - 06:40 - Cloud, Edge and On-Premise Costs
06:41 - 10:37 - Data/ML x Research/Prod Matrix
13:08 - 17:28 - Iguazio Tech Stack
17:29 - 21:43 - Data Fabric for Data Science
21:44 - 26:44 - Data Science Workspace Creation
26:45 - 29:26 - Project-Level Data Tiering
29:27 - 35:49 - Data Replication Orchestration
35:50 - 49:17 - DEMO
49:18 - 57:23 - Q&A
57:24 - 1:00:11 - Outro and invite to the MLOps Live Slack Community.

The MLOps Live Series goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running Al experiments at scale, versioning, delivery to production, reproducibility and data access.