On-Demand Web Seminar  Leveraging sentiment as a leading indicator of loan defaults

May 28, 2020 | 60 Minutes
Hosted by American Banker

These turbulent times make it challenging to manage a loan book while maintaining the overall customer relationship. Staying connected with your customer’s challenges and identifying early signs of loan defaults can help you manage risk across your loan book more effectively.

Mining unstructured data sources (e.g., news, press releases, SEC filings/proxy statements, earnings call transcripts, etc.) for leading indicators of risk is a powerful way of staying connected with your customers. Recent advancements in AI have enabled sentiment analysis, key phrase extraction and trending to deliver actionable data, converting qualitative information into quantifiable data.

Commercial/Corporate banking professionals should join us for an essential discussion on how AI and Sentiment Analysis can be embedded into your daily workflows for credit monitoring and credit underwriting to reduce default risk. We discuss navigating situations when limited is data available and how you can use thematic trending and market-level data to benchmark risk.

Mirella Reznic
Head of Product and Innovation
Bitvore
(Speaker)
Mike Sisk
Contributing Editor
American Banker
(Moderator)

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