ModelOps: Designing and Building a Model Life Cycle for AI Operationalization

Explore the critical first step in operationalizing AI models through this comprehensive workshop session presented by Jim Olsen, CTO at ModelOp. Delve into the intricacies of establishing a model life cycle, an essential component for successfully deploying AI models into production. Learn how to design and build an effective model life cycle, incorporating industry best practices and addressing key considerations. Gain insights into the operational steps from deployment to retirement for all models within an organization. Discover who should be involved in the process and the types of issues that must be taken into account. Benefit from Jim Olsen's extensive experience as a technical innovator and his expertise in leading architectural design for products at companies like Teradata, Qualtrics, and Novell. This 1 hour and 26 minute session, part of the MLOps World: Machine Learning in Production series, provides valuable knowledge for data scientists and professionals looking to bridge the gap between model development and successful operationalization.