The key features of fraud detection AI lie in conversational AI, natural language processing (NLP), and automatic speech recognition (ASR). Machine learning systems process the data provided, improving algorithms and analysis to detect indicators of fraudulent activity.
Conversational AI uses technology to provide automated messaging and voice-enabled applications, allowing people and computers to converse in a more human-like way. NLP combines machine learning models with human language models, facilitating conversational AI and other voice recognition technologies. ASR translates speech from a verbal format and identifies certain language features. Collaboratively, they comprehensively analyse customer interactions.