Behind the bot: A history of automated customer interaction systems in banking
What do chatbots and voice recognition systems have in common? Like some of us, they aren’t great at small talk.
Tag: Machine learning
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 ...
Fed’s Barr highlights digital redlining risk resulting from AI tools
While artificial intelligence and machine learning have enormous potential, Federal Reserve Vice Chairman for Supervision Michael Barr cautioned that “they ...
Five AI trends transforming financial services
Lessons from the AI in Finance Summit
Natural language search: Helping banks enhance customer experience
Intelligent solutions enable self-service for both customers and support agents.
Open banking and API security: Best practices
Adopters of open banking can more effectively harden their security stance against future attacks, protect their data and customers with ...
Combating check fraud: Still a major challenge in the digital age
Innovations in account registration have given fraudsters just as much convenience as customers. Although check use is not as common ...
The challenge of financial fraud detection two years into a pandemic
The most sophisticated and user-friendly method for blocking credential stuffing attacks is to use behavior-based detection and blocking.
How machine learning can unlock digital marketing success for banks
Analytics tools and ad platforms create more data than a human can possibly analyze and act on. Machine learning tools ...
Alternative Data: Will the Rewards Outweigh the Risks?
Unstructured data, in its purest form, must be cleaned, prepared and analyzed before it adds value or provides insights
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