Outsmarting Contact Centre Fraudsters with Supercharged Voice Biometrics
Presented by
Ravin Sanjith and Dan Miller, Opus Research; Efrat Kanner-Nissimov (Director, Product Marketing, NICE)
About this talk
By incorporating the latest advances in machine learning techniques combined with voice biometrics used for caller authentication, contact centers now have the ability to expose previously unsuspected fraudulent intent. In the ongoing response to sophisticated fraud attacks, the creation of high-quality fraudster watchlists from historical recordings not only provides a highly effective defence, but also an improved ability to prosecute fraudsters. Removing these ‘bad actors’ from the picture is a revolution in the fight against fraud.
Business use cases for Conversational AI, Generative AI, LLMs, and Conversational Intelligence. In-depth analysis, real-world case studies, and proven business value for customer service, CX, marketing, and revenue acceleration. …