Machine Learning @ Community Banks

According to Gallup, community banks and credit unions have double the engagement rate of national banks.

Having done the hard work to "help customers and members feel that they are valued and are getting personal attention" (Gallup), they have a unique opportunity to leverage data and machine learning methods to:

  • Deliver data-driven consumer experiences
  • Expand the portfolio to include investment products
  • Lighten the burden of regulatory requirements

In this one day conference, industry practitioners will share how they are leveraging data science and machine learning to transform their community financial services organization.

 

DATE

March 9, 2017
10a - 4p

LOCATION

Bloomberg Tech
140 New Montgomery
Floor 22
San Francisco, CA

CO-ORGANIZED WITH

 

Speakers

 

Agenda

09:30 - 10:00: Registration
10:00 - 11:00: Collateralized Lending using Machine Learning, Karén Chaltikian, Lending.AI
11:00 - 12:00: Machine Learning for Delinquency and Default Risk, Dhruv Madeka, Bloomberg
12:00 - 01:00: Lunch
01:00 - 01:45: KYC and Fraud Prevention in Crypto, Soups Ranjan, Coinbase
01:45 - 02:30: Tips and Tricks for Machine Learning Projects, Brendan Herger, Capital One
02:30 - 03:00:  Self-Supervised Machine Learning, Arshak Navruzyan, Startup.ML
03:00 - 04:00:  FinTech Panel, moderated by Clifford Tong

 

Sponsors and Media Partners

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