Recent advancements in machine learning provide the opportunities to develop the customer-facing products that operate at a large scale. But that also brings the whole new set of challenges with the data-driven approach that need to be taken care of to make sure that product is improved consistently and in a reliable manner. In this session we’ll cover some of these challenges across product understanding and experimentation, strategies of dealing with them and some of the cases from the industry.