WHITE PAPER
Building Artificial Intelligence in Credit Risk:
A Commercial Lending Perspective
A Slowly Changing Paradigm
About this paper
What will it take for banks to trust artificial intelligence (AI) and machine learning (ML) with judgments about data accuracy and leverage it for commercial lending process automation? Drawing on recent academic evidence and business insights, this paper provides a contemporary look at what AI and ML adoption could mean for commercial lending and credit risk assessments, shares approaches for adopting AI and ML for each step of the commercial lending process, and presents use cases to help banks start to planning for adoption.
A Gartner survey of more than 3,000 CIOs revealed that the organizations that deployed artificial intelligence grew from 4% to 14% between 2018 and 2019.
Read the paper to get the insights:
- Quantifying the Impact of AI and ML Algorithms
- Exploring the Impact of More Diversified Data Sources
- The Benefits Outweigh the Challenges of Using AI and ML Algorithms
- Use Cases of AI, ML and Automation in Commercial Credit Underwriting
About SAS
SAS is a global leader in AI and analytics software, including industry-specific solutions. SAS helps organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. SAS gives you THE POWER TO KNOW®.
