Discover the essential governance capabilities required for effective MLOps implementation in this comprehensive workshop session. Learn how to assess your organization's current MLOps maturity and develop a roadmap to achieve full maturity. Explore methods for implementing ML governance components to gain control and visibility into model operations in production environments. Gain insights from experienced data science professionals Trey Morrow and Dwayne Dreakford as they provide an overview of the Algorithmia platform, demonstrating how to deploy models quickly and securely. Suitable for both data practitioners and leaders, this session covers new and exciting features in machine learning operations software, emphasizing the importance of managing all stages of the ML lifecycle within existing operational processes.
5 Governance Capabilities You Need in MLOps - Workshop Session
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
Workshop Sessions: 5 Governance Capabilities You Need in MLOps
Taught by
MLOps World: Machine Learning in Production
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