Advanced analytics, in particular deep learning and real-time decision making, is ready to take the next step to transition to production and operations where MLOps and DevOps become crucial. Model serving, one of the most important part of MlOps, possesses unique challenges not present in training. We will discuss differences and challenges, and common solution principles and frameworks. You will learn the concepts of drift detection, monitoring, and feature stores. IoT use cases will be discussed.
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These webinars are an initiative of the INFORMS Practice Section and are organized by Dr. Rajesh Tyagi (RajeshTyagi@yahoo.com).