Written in collaboration with Mike Rodriguez
Part 3 of 4 in our loan monitoring white paper series
Artificial intelligence (AI) and machine learning (ML) can reshape our approach to managing federal loan portfolios. Current loan monitoring is mostly reactive, but AI helps us shift to a proactive—and even predictive—monitoring process.
In part three of our loan monitoring white paper series, Loan Monitoring: Artificial Intelligence, Machine Learning, and Beyond, Katie Janik and Mike Rodriguez explore the growing role of AI and ML in federal credit oversight and how the use of predictive modeling can enable proactive, informed decision-making. The paper also presents key considerations for federal credit agencies, real life examples and benefits, and initial steps for embracing this next wave of modernization.
Join us in exploring this subject through a series of podcasts and white papers that share how AI technologies are revolutionizing the financial sector, providing actionable insights, and driving more informed decision-making.
The last installment of our series will examine how we can create a unified loan monitoring platform across federal agencies.