Productionizing AI and MLOps

As AI models are being deployed in business across industries, operationalizing the models and AI-powered software at scale becomes challenging. "MLOps" emerges to combine machine learning and the principals of the "DevOps" software practices, in a new normal that models are commodities.

This talk investigates the following challenges for productionizing AI models: •unifying exploration, training, production environments •automated/continuous retraining •model deployment management: monitoring, updating