Taking Machine Learning from the lab and into the real world is often the biggest challenge facing data scientists. In this talk, Lina Weichbrodt and Elena Stein from Taktile, a leading interactive decisioning platform for the financial services industry, will share six best practices they learned bringing dozens of machine learning models into production. As it turns out, the model is rarely the weakest link in making a project succeed. We will delve into go-live checklists, monitoring best practices, and what requirements should be defined in the business case. The talk will be most helpful for listeners with beginner or mid-level skills in productionizing data science products.