• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Home
  • Crypto Currency
  • Technology
  • Contact
NEO Share

NEO Share

Sharing The Latest Tech News

  • Home
  • Artificial Intelligence
  • Machine Learning
  • Computers
  • Mobile
  • Crypto Currency

Building Resilience Against Credit Losses With AI

January 18, 2021 by systems

marcus evans online events

Registration is now Open

With the ongoing crisis affecting delinquency rates, banks and financial institutions cannot rely on conventional methods to improve collections without affecting customer experience. Can banks make existing debt collection processes more intelligent with AI?

In this Power Room Series, we will discuss how collections teams can be empowered with AI enabled risk segmentation, early prediction of delinquent accounts; and suggested treatment plans based on risk segment, which helps them improve efficiency and customer experience.

  • Gauging the impact of COVID-19 on lending and delinquency rates
  • Can banks deal with the changed reality with traditional methods?
  • Devising strategies to prevent credit losses in the immediate future by leveraging AI based risk segmentation
  • Preparing for the post moratorium period: what are banks doing?
  • Stephanie Chia
    VP Regional Payments and Servicing (TMRW Digital Bank)
    United Overseas Bank Limited (UOB), Singapore
  • Balakerthy Punyakoti
    Head of Asia Retail Risk Models and Advanced Analytics/Senior Vice President
    HSBC
  • Praveen Kombial
    Global Product Head for Business Applications
    EdgeVerve

Filed Under: Artificial Intelligence

Primary Sidebar

Stay Ahead: The Latest Tech News and Innovations

Cryptocurrency Market Updates: What’s Happening Now

Emerging Trends in Artificial Intelligence: What to Watch For

Top Cloud Computing Services to Secure Your Data

The Future of Mobile Technology: Recent Advancements and Predictions

Footer

  • Privacy Policy
  • Terms and Conditions

Copyright © 2025 NEO Share

Terms and Conditions - Privacy Policy