Tuesday March 25th- 9am PST/12 noon EST/ 5pm CET
How to Manage Thousands of Real-Time Models in Production
This is a very special session of MLOps Live. Two years after we first hosted Seagate on our webinar series, we invite them back to share the progress they have made with their ML pipeline and MLOps automation capabilities, and how they're managing thousands of AI models in production today.
Join us to discover Seagate's secrets to successful deployment, orchestration and management of AI applications in real-time at scale. Including:
- Recommended AI architectures for managing 1000s of models in production
- How to overcome challenges in scaling AI
- Predictive management use cases
- Use case #1: How the team used anomaly detection for process tool health monitoring
- Use case #2: How the team used classification for optimized material sampling accelerating production, reducing waste and improving yield.
This is one session you won't want to miss!
Can't attend the live webinar? Register to receive the recording and watch at your convenience.
Presented By
Kaegan Casey
AI/ML Solutions Architect, Seagate
Gilad Shapira
Customer Success Engineer, Iguazio (acquired by Mckinsey)