In this webinar, Maciej Kozubal, Customer Success and Support Engineer, will showcase best practices for Model Management, highlighting how to drive efficiency, reliability, and prevent critical failures in machine learning deployments.

We will explore how effective management of machine learning models can ensure consistent performance and safeguard against costly errors.

The session will cover key areas such as comprehensive model versioning, centralized model cataloging, and flexible deployment strategies. We’ll also delve into advanced features like model explainability, drift detection, and outlier detection using the Seldon Alibi Explain and Alibi Detect libraries, helping you maintain accuracy and trust in your models.

Join us to discover how Seldon can empower your team to ensure smooth and scalable deployments, prevent critical failures, and gain deeper insights into model behavior.