Trends
Bridging the Data Gap
The credit industry and the needs of borrowers have evolved rapidly in the past decade.
Case Study
How we are driving a robust credit program for a leading e-retailer
The overall opportunity of this engagement lay in our ability to rebuild and enable the client to drive credit adoption and a sound decisioning process...
Whitepaper
Using AI & ML to detect first party fraud
First party fraud occurs when customers apply for credit with an explicit intention
to not pay back. Such customers often use fabricated information (including
contact details) at the time of application.
Best Practices
ML in Credit Risk
This explores the best practices which are followed while we build and deliver some of the world’s leading underwriting models on our platform Ether.
Case Study
Sharper credit decisioning process to accelerate profitable portfolio growth
Our client, a leading financial institution was experiencing increased delinquencies, resulting in credit losses and high operational costs on collections.
Case Study
Detect Account Takeover Fraud Using AI
One of our major banking clients in the US was seeing significant uptick in ATO (Account Take Over) fraud losses. There was a need for a platform which could help them detect fraud early and accurately...
Whitepaper
The role of AI in Credit Line Assignment
Key driver of approve or reject decision is the credit worthiness of the applicant as
measured by risk score(s).
Case Study
Forecast better, faster, at scale with advanced ML techniques
A leading US bank was unable to accurately forecast aging losses due to underestimation of realizations, observing over 16% variance to actuals.
Case Study
Sharper AI tools for improved loss savings and approvals
A case study on how Ether platform creates significant “Lift”
