AutoML has become the hot topic lately, but how do you take your trained Auto-ML model and make it real-time, to create real-time intelligent applications? Come see this talk and see a walk through of operationalizing AutoML for real-time transaction fraud with a real-world example and demo. It will include a reference architecture from feature engineering, to model training to the steps to quickly realize real-time Machine Learning. The talk will also cover other top real-world use-cases such as Conversational AI, Real-time Offers, Churn Prediction, Anomaly Detection, etc.