Conversations about machine learning take place in data labs, board rooms, and everywhere in between. As a result, machine learning models live in our cars, our phones, even our stationary bikes, and we interact with them on a daily basis. But as new tools democratize data science and the number of stakeholders across each organization continues to grow, collaboration in the modeling process becomes increasingly important.

This panel will discuss the importance of collaboration and ways that data scientists, consumer experience teams, digital product owners, fraud/compliance subject matter experts, and outside expertise can all contribute to financial crime detection strategies that address a wide range of business objectives.