Data science is an incredibly powerful tool, and an essential practice for any financial institution that wants to remain competitive—but just bringing data scientists into an organization isn’t enough. To create an effective data science program, organizations need to empower their risk teams to solve the right problems!
Michael Shurley, Provenir’s Director of Industry Solutions, has worked with many of the world’s leading financial institutions on their risk decisioning infrastructure, giving him a unique perspective on what it takes to build the right foundation for data science success. Through his years of experience, he has seen first-hand the key factors that determine just how effective a data science program is within a financial services environment.
In this 30-minute webinar Mike discusses the technology needed to implement data science in risk decisioning, why data science teams often solve the wrong problems, and why businesses need to fully embrace data science to drive success in their risk strategies.
Watch this on-demand webinar to learn:
- Why data scientists need context to solve the right problems
- The importance of a strong relationship between data science and risk teams
- How Provenir empowers data science in risk decisioning and eliminates data access challenges
Sign-up today for this on-demand webinar, which will include an exclusive demo of the Provenir Platform.