Nice had 12 patents in artificial intelligence during Q2 2024. Nice Ltd has filed patents for computerized methods utilizing Machine Learning models for authentication, fraud detection, and generating classification models in various environments. Additionally, they have developed systems for generating automation opportunities based on action sequences and quantifying monotony in task execution across multiple computing devices. GlobalData’s report on Nice gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Nice had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Computerized-method and computerized-system for training and applying a machine learning (ML) textual behavioral identification model to authenticate an agent, in a digital multi-channel environment (Patent ID: US20240203424A1)
The patent filed by Nice Ltd. describes a computerized method for training and applying a Machine Learning (ML) textual behavioral identification model to authenticate agents in a digital multi-channel environment. The method involves training the model using historical interactions, receiving textual responses from agents, calculating an imposter-probability score in real-time, and taking actions based on the score. The system includes processors, a pattern-identification data store, and a file management system to facilitate the authentication process.
The method utilizes a controlled environment for agent verification, processes text-based interactions from various channels, and can prompt agents for authentication or block them based on the imposter-probability score. The ML model is continuously retrained and enriched using textual responses from authenticated interactions, ensuring the system remains up-to-date and effective in identifying imposters in real-time.
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