CBA Webinars

CBA Team Contact

Maren Colon
mcolon@consumerbankers.com
202-552-6394

The Future is Now! How Advanced Analytics and Artificial Intelligence Can Help Consumer Bankers Increase Revenue and Grow Existing Portfolios

Recorded On: 11/09/2017

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PRESENTERS:

Julian Grey, Mortgage Market Leader, Black Knight
Dan Kenshalo, Vice President of Data Science, Black Knight

ABOUT THE WEBINAR:

This educational and insightful webinar will help you understand how you can apply big data tools and artificial intelligence (AI) to better understand existing customers, identify new customers, and ascertain portfolio risk. Led by industry authorities Julian Grey and Dan Kenshalo from Black Knight, the webinar will also provide industry-specific use cases.  

THE WEBINAR WILL COVER:

  • How to use AI to identify new leads from existing portfolios
  • How to provide better product recommendations for current customers
  • The meaning of the big data industry “buzz” words used today
  • Using a “virtual analytics laboratory” for big data and advanced analytics

TOP THREE BENEFITS TO ATTENDEES: 

  • Find out what big data, AI and machine learning really mean 
  • Learn how these tools are used in the industry today   
  • Find out why data-driven decisions are more important than ever

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Julian Grey

Mortgage Market Leader, Black Knight

Julian Grey is an experienced product management professional with a proven track record of innovation in data and predictive analytics solutions, including housing indices, home price forecasts, and housing market forecasts. She was named to the MReport's prestigious list of Women in Housing for 2016 and one of HousingWire magazine's Women of Influence for both 2015 and 2017.

Dan Kenshalo

Vice President of Data Science, Black Knight

Dan Kenshalo is responsible for building Black Knight’s emerging data science practice and technical aspects of the company’s Risk Analytics Platform. His areas of focus are machine learning, big data, research and analysis. Prior to his role at Black Knight, Dan worked in the cloud collaboration laboratory for the U.S. Department of Defense during the initial emergence of big data, where he led a large cross-functional team of data scientists. 

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