Machine Learning Lifecycle 2021 Conference
Cognilytica’s Machine Learning Lifecycle Virtual Conference is a three day online experience January 26-28, 2021 focused on the machine learning lifecycle including ML Operations, building models, and model management!
Machine Learning Lifecycle 2021 Conference
Predicting Client Profitability with Automated Machine Learning
On Demand
Presented by:

DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.

About this Session

One of the biggest challenges banks face is identifying and successfully marketing to the most profitable customers. To stay competitive with tech-savvy fintechs, banks need to identify customers whose needs align with their offerings and avoid wasting effort and marketing budget on customers who aren’t likely to benefit from – or purchase – their products and services.

In this on-demand webinar, DataRobot’s Director of Banking H.P. Bunaes walks through the process of building a client profitability model with DataRobot’s automated machine learning platform and using it to improve profitability, client prospecting, and marketing ROI.

In this sesion H.P.:

  • Shows how to develop and test a client profitability predictor model with DataRobot using real data
  • Benchmarks profit vs. risk-averse strategies, compares the results, and proposes a high-profit strategy using the DataRobot model
  • Describes insights gained from client profitability predictors to inform prospecting and target marketing
  • Discusses benefits, use cases, and downside risks for client profitability models for credit card, wealth management, and auto lending lines of business
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