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Though this mechanism is still evolving due to its complexity, certain applications like Amazon’s Alexa, Google Assistant, We Chat, and Facebook AI Chatbot are on the pathway towards dynamic responses based on human behavioral and preferential traits.
Self-learning is what helps these entities understand the human mind and gain appropriate information efficiently to produce convincing responses.
This is done when the set of questions posed by the human users is preordained with keywords and mapped to relevant responses.
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These intelligent bots may either map responses based on similar request history information of the same or different user, or create intelligent responses based on the keywords in the request.
Chatbots are built to assess a problem and come up with an intelligent solution by working autonomously.
AI Chatbots are the latest rage in the current business technology scene ranging from e-commerce systems to hospitality management systems.
The key advantages are anytime and anywhere interactions, which give the business global access to potential customers.
Using a combination of Natural Language Processing (NLP), Vector Machines, Heuristics, and ANN, chatbots are designed to respond like intelligent humans.
The nub of these intelligent responses is not the chatbots, rather it is the intelligence quotient of these computer programs that is so intriguing.
AI Chatbots either use text messages, voice commands, or both.
AI robots use a natural language to communicate with Artificial Intelligence features embedded in them.
AI robots can be addressed as talk bots, IM bot, artificial conversation entity, etc.
The main aim of creating AI chatbots is to help customers make better-informed decisions.
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