Financial Services
Rely on Sherpa.ai to collaborate across data silos while preserving privacy
The application of Artificial Intelligence through Sherpa.ai’s Privacy-Preserving platform will allow the prediction algorithm to improve the diagnosis without the need to share any patient data. This platform may enable testing of diagnosis and therapeutics for a group of diseases that are currently without specific treatment options.
Former CEO of La Caixa and Banco Sabadell
Former General Manager of Banco Santander
Federated Learning Cases in Financial Services
Unlock collaborative Intelligence in Insurance
Learn how Sherpa.ai empowers financial institutions to tap into the value of data scattered across diverse silos.
Boost Cross-Selling Capabilities with a 360 customer view
Discover how you can supercharge your AI models by integrating data from various departments or companies and enhance cross-selling capabilities.
Predicting High-Value Customer Churn
Find out how to prevent the potential loss of high-value customers by training your AI models with Sherpa.ai.
Real-Time Fraud Detection
Sherpa.ai aids in real-time detection of fraudulent transactions to prevent losses and maintain customer trust.
Defaulter Detection with Federated Intelligence
This study shows how multiple banks can collaboratively train a defaulter detection model using Gradient Boosting Decision Trees—without sharing sensitive data—thanks to our Federated Learning platform. The federated model achieves performance comparable to a centralized approach and outperforms individual bank models.
