Since the onset of the COVID-19 Pandemic, financial institutions have accelerated the launch of digital solutions powered by Artificial Intelligence (AI) and Machine Learning (ML) to handle additional traffic to customer service centers and compensate for lost branch revenue. While these services fill urgent gaps in functionality and provide additional sales and servicing options, hasty implementations and programmer bias can negatively impact the user experience and value to the customer. Empathetic AI or Artificial Empathy (AE) has become the
Regardless of industry, success in business is all about solving customer problems. Financial institutions and FinTech organizations help their customers solve a range of financial problems in areas like budgeting, money movement, wealth management, auto loans and real estate financing. In order to provide more relevant products and experiences they must not only leverage data but have processes in place to update and manage it on an ongoing basis. Predictive problem solving for financial services By gathering customer data, governing its access
The path to digital has been accepted as the road to success for most financial services companies, and for many good reasons. In every bank and credit union bound for success, there is at least one executive who is completely convinced that making this journey will be key to everything management wants to accomplish in the future. In some cases, this executive must sell the vision to the Board of Directors. In many cases, the goal has already been set and