
Harnessing synthetic data: Advancing innovation with privacy-enhanced insights
Synthetic data has emerged as an innovative way to leverage high-quality data without compromising customer trust or causing any agency angst.
Synthetic data has emerged as an innovative way to leverage high-quality data without compromising customer trust or causing any agency angst.
While artificial intelligence and machine learning have enormous potential, Federal Reserve Vice Chairman for Supervision Michael Barr cautioned that “they also carry risks of violating fair lending laws and perpetuating the very disparities they have the potential to address.”
Lessons from the AI in Finance Summit
Intelligent solutions enable self-service for both customers and support agents.
Adopters of open banking can more effectively harden their security stance against future attacks, protect their data and customers with a holistic approach to API.
Innovations in account registration have given fraudsters just as much convenience as customers. Although check use is not as common in the digital age, fraudsters utilize checks as a convenient medium to exploit banks and their customers.
The most sophisticated and user-friendly method for blocking credential stuffing attacks is to use behavior-based detection and blocking.
Analytics tools and ad platforms create more data than a human can possibly analyze and act on. Machine learning tools can identify trends and anomalies in large data sets faster and with greater precision.
Unstructured data, in its purest form, must be cleaned, prepared and analyzed before it adds value or provides insights
Banks focusing on innovation in their processes, people and technology will be well placed to implement effective BSA/AML compliance programs.