Episode 30
Data Science Leaders | 18:03 | December 08, 2021
As compute capability continues to expand, the banking industry is turning more and more to data science to enable better customer experiences.
Use cases have proliferated, from product recommendation engines to predictive customer retention alerts. These innovations can drive real business value, but managing the rollout of process and technology changes always presents interesting challenges.
As compute capability continues to expand, the banking industry is turning more and more to data science to enable better customer experiences.
Use cases have proliferated, from product recommendation engines to predictive customer retention alerts. These innovations can drive real business value, but managing the rollout of process and technology changes always presents interesting challenges.
In this episode, Chun Schiros, SVP, Head of Enterprise Data Science Group at Regions Bank, reveals how her team is leveraging AI solutions to optimize the banking experience. And with insight applicable to data science leaders in any industry, she shares her change management tips for driving adoption of machine learning among data skeptics.
We discuss: