How does Conversational AI Work in Practice?
Conversational AI is practiced by highly qualified artificial intelligence experts
Conversational AI is a collection of AI-related technologies that enable human-like interactions between computers and customers. Individually based on NLP, the technology has 3 distinct components: Input, Analysis, and Response.
Input
As with human-to-human conversation, everything begins with recognizing/hearing human speech and/or text, then understanding the intent behind the words. In this process “natural language understanding” or NLU, a part of NLP is being used which helps the self-service tool recognize and understand what a human customer wants (intent).
Analysis
Having understood the human’s intent, Machine Learning enters the picture to analyze all the potential responses, using all available data, pattern recognition, and algorithms. As the ML tool goes through these response options, it determines the right response to the customer in each particular context.
Response
Now comes the “natural language generation” or NLG which enables the computer program to generate an appropriate response to the human in conversational language.
Through this, we get a better understanding that Conversational AI dynamically incorporates context, personalization, and relevance within the human-to-computer engagement.
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Conversational AI is practiced by highly qualified artificial intelligence experts
Conversational AI is a collection of AI-related technologies that enable human-like interactions between computers and customers. Individually based on NLP, the technology has 3 distinct components: Input, Analysis, and Response.
Input
As with human-to-human conversation, everything begins with recognizing/hearing human speech and/or text, then understanding the intent behind the words. In this process “natural language understanding” or NLU, a part of NLP is being used which helps the self-service tool recognize and understand what a human customer wants (intent).
Analysis
Having understood the human’s intent, Machine Learning enters the picture to analyze all the potential responses, using all available data, pattern recognition, and algorithms. As the ML tool goes through these response options, it determines the right response to the customer in each particular context.
Response
Now comes the “natural language generation” or NLG which enables the computer program to generate an appropriate response to the human in conversational language.
Through this, we get a better understanding that Conversational AI dynamically incorporates context, personalization, and relevance within the human-to-computer engagement.
The post How does Conversational AI Work in Practice? appeared first on .
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