Why Trust Is the Currency of AI in Financial Services—and How to Earn It
Public trust in AI is low—59% of Americans and 55% of experts lack confidence in companies to use AI responsibly, according to Pew Research. This skepticism poses a major challenge for financial services, where trust is critical. To address it, institutions must prioritize: transparency (clearly explain AI decisions), reliability (rigorously test and monitor systems), and user control (allow clients to opt out or challenge decisions). Building trust isn’t just ethical—it’s strategic. By embedding these principles into AI strategies, financial leaders can strengthen customer confidence and lead responsibly in an AI-driven future.
Buying vs Building Solutions: A Guide for Analytics Leaders in Credit Unions
Explore the pros and cons of buying vs building solutions as an analytics leader in credit unions to optimize business processes and growth.
Leveraging AI in Banking: A Game-Changer for Team Productivity and Performance
Explore how AI can enhance team productivity in banking, break professional silos, boost emotional experiences and lead to better decision-making.
The Power of External Consultants to Enhance Analytics and Strategy
External consultants bring fresh insights and specialized skills, complementing internal teams to boost strategy, innovation, and efficiency in financial services.