Home > AI Solutions > Artificial Intelligence > White Papers > Conversational AI with Kore.ai > XO Platform methodology
Machine Learning-based NLP models typically take a long time to produce accurate results. Therefore, enterprises might be hesitant to adopt Conversational AI. Kore.ai mitigates this hesitancy by using a unique triple-engine approach, combining Machine Learning, Fundamental Meaning, and Knowledge Graph engines for maximum conversation accuracy with little upfront training. It enables virtual assistants to understand and process multisentence messages, multiple intents, and contextual references made by the user, patterns, and idiomatic sentences, and more. The XO Platform uses the three engines as shown in the following figure:
All the three Kore.ai engines finally deliver their findings to the Kore.ai Ranking and Resolver component as either exact matches or probable matches. The Ranking and Resolver component determines the top scorer of the entire NLP computation.