Use cases for AI in financial services are still limited, but University Federal Credit Union (UFCU, $4.0B, Austin, TX) is showing how new technology can alleviate pain points and reduce friction. After determining that check holds were slowing down service, which was causing members to wait in line to deposit checks with a teller rather than utilize more convenient options , the Texas cooperative created an effective machine learning model to alleviate member frustration and enhance efficiency.
During this webinar, Esther Edevold, University FCU’s vice president of insights & innovation, as she shares how the cooperative is forging ahead with artificial intelligence, including use cases, best practices, lessons learned, and more.
Webinar attendees will learn:
• How the credit union discovered this member pain point
• What simple solution it implemented before developing a machine learning model
• Why UFCU has built internal, supervised models to leverage the power of AI
• What lessons have been learned to date and what else UFCU has planned in the near-term
Read more – https://creditunions.com/features/artificial-intelligence-genuine-member-experience/
