Whitepaper: Successfully implement and operationalize machine learning models to optimize and accelerate credit decisions

Make AI/ML models more accessible in your credit life-cycle

Why read the whitepaper? Lots of time and money is invested in developing artificial intelligence (AI) and machine learning (ML) models to figure out which customers are the best bets for loans and credit.

This whitepaper not only examines multiple machine learning use cases within the credit life cycle. It also looks at the advancements in Decision Management technology that brings within reach the possibility to integrate and operationalize all models, developed in tools like Excel, SAS, Python and R in minutes.

The whitepaper examines

• Where the greatest potential is realized when AI/ML models are integrated in the operational decision-making processes of the credit life cycle.
• The opportunities AI/ML models offer when looking at customer acquisition, credit decisioning, monitoring and collections, and deepening of customer relationships.
• How credit institutions can close the gap between model development and integration into operational decision-making processes.