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Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machinelearning, and the digital transformation. Vendors in most IT sectors claim to provide AI-enabled solutions, and the speech analytics providers are no exception. By Donna Fluss. But this is just the beginning.
The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machinelearning. Both groups of technologies can be utilized to make analytics more actionable. By the way, did you know that Lumoa’s analytics is powered by AI?
The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machinelearning. Both groups of technologies can be utilized to make analytics more actionable. Learn More about the role of AI in CX. Example of text analytics with sub-categories.
The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machinelearning. Both groups of technologies can be utilized to make analytics more actionable. Learn More about the role of AI in CX. Example of text analytics with sub-categories.
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