Video | Financial Institution Optimizes Customer Relationship Value through AI and Innovative Data Approach A financial institution needed to effectively assign its relationship managers to optimize service, balance resource workloads and maximize revenue. We helped them develop a graph data structure and algorithms in the Microsoft Azure environment to organize and analyze nested banking customer relationships.This reduced daily data processing time by nearly 96% and automated more than 90% of client relationship management assignments. This banking client now leads the way in financial services innovation, thanks to its data-driven design, mapping and staffing of customer relationships and account management. Read the full story to learn how we help our clients leverage data and AI/ML to improve their customer relationships, data-driven insights and increase revenue generation. Topics Digital Transformation Leadership Christine Livingston Christine is a managing director and global leader of our Artificial Intelligence practice, responsible for all AI-ML initiatives. She focuses on identifying opportunities for Artificial Intelligence, developing AI integration and adoption strategies, and incorporating ... Learn More Scott Laliberte Scott is the Global Leader of Protiviti’s Emerging Technology Group. Scott and his team enable clients to leverage emerging technologies and methodologies to innovate, while helping organizations transform and succeed by focusing on business value and managing risk. His ... Learn More
