This session is expected to cover the following topics: What are the types of practical applications that can be addressed by data science solutions? Collaboration between actuarial, data science, data engineering, data management, legal and others. Data Science Life Cycle. How would you know that data science solution solves the problem? How to monitor predictive model performance? What tools can be used to understand model bias? Challenges in deployment of data science solutions. The audience will learn about practical applications for actuarial and operational problems by using data science, how to collaborate effectively between actuarial, data science, data engineering, data management, legal and others and specific questions they need to ask the data science team to make effective data science solutions.