It’s happened again. You built another AI model that will never see the light of day because it won’t make it past the AI “valley of death” – the crossover of model development to model deployment across your enterprise. The handoff between data science and engineering teams is fraught with friction, outstanding questions around governance and accountability, and who is responsible for different parts of the pipeline and process. Even worse? The patchwork approach when building an AI pipeline leaves many organizations open to risks because of a lack of a holistic approach to security and monitoring.Join us to learn about approaches and solutions for configuring a MLOps pipeline that’s right for your organization. You’ll discover why it’s never too early to plan for operationalization of models, regardless of whether your organization has 1, 10, 100, or 1,000 models in production.The discussion will also reveal the merits of an open container specification that allows you to easily package and deploy models in production from everywhere. Finally, new approaches for monitoring model drift and explainability will be revealed that will help manage expectations with business leaders all through a centralized AI software platform called Modzy®.
KEYNOTE (AI): Modzy -- Crossing the AI Valley of Death: Deploying and Monitoring Models in Production at Scale
Seth Clark is Founder and Head of Product at Modzy. Prior to founding Modzy, Mr. Clark served as product manager for a number of successful analytics products. He also served as Principal at Booz Allen Hamilton, where he led complex projects at the intersection of Data Science and Software Development. He has degrees in engineering from the University of Southampton and the Massachusetts Institute of Technology.