Next IT Launches AI Initiative

@machinelearnbot 

Cue AI, which analyzes large volumes of unstructured data for immediate insight on the areas where a bot or intelligent virtual assistant should be deployed; Prompt AI, which discovers and creates business intent by categorizing large amounts of natural language ideas together to prioritize, test, and deploy language understanding; Trace AI, which identifies trends, risk, and improvement opportunities and makes recommendations on those opportunities while continuously learning from user interactions; The Context IQ Engine, which leverages numerous NLP techniques and supports full conversational attributes, including multiple languages, two-way and mixed-initiative dialogues, goals, full regression testing, and human influence for scoring; The Prompt Predict Engine, which leverages self-learning; Author AI, a natural language generation content management system that lets users access and manage digital interactions and responses across endpoints and multiple conditions for business intents; Conversation Designer, which enables users to visually design how conversations should look, feel and be experienced; and Alme Lab, a visual development environment for modeling the precise language a bot or intelligent assistant needs to understand, including clarifications and multi-step mixed initiative dialogue, as well as the ability to incorporate context and mine data to personalize understanding and experiences. Alme Lab, a visual development environment for modeling the precise language a bot or intelligent assistant needs to understand, including clarifications and multi-step mixed initiative dialogue, as well as the ability to incorporate context and mine data to personalize understanding and experiences.

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