Model Serving: How to Implement Real-Time Inference?
In this webinar we showed how to create a Machine Learning pipeline, put it into production in a few minutes, serve the results via a secure API, and analyze its execution (experiment tracking). As an example, we used a use case for predicting electricity consumption by region, every 30 minutes over a 24-hour period, based on data collected directly by the French grid operator (RTE).