The same phrase, used in different contexts, can have opposite meanings in a conversation. And differentiating, identifying, and pinpointing these modulations is the next big frontier for systems.temvoice answering.
Talking is one thing, communicating is another. The use of AI allows NLU to analyze the context and interpret questions and commands in order to provide more assertive responses to users. Additionally, machine learning enables this feature to get smarter with the tempo and continuous use.
With the realization in temactual type of interventions and adjustments in care.
With a greater understanding of the real needs and demands of customers, with a focus on problem solving.
With lower cost in interactions.
NLU works with speech recognition technologies and applies natural language processing techniques to allow humans to interact with computers with normal speech syntax. This makes customers have their intentions, behaviors and emotions understood by the system.tema, identifying special cases and carrying out interventions in temreal po in attendance. This is possible thanks to a unique combination of technologies.
Natural language processing sorts out misspelled words, grammatical errors, and incorrect pronunciations to derive a person's actual intent. This requires not only processing spoken or written words, but also analyzing context and recognizing feelings.
To process new information and allow constant improvement of service routines.
Fluid and effective communication
advertising optimization
Take action and strategize based on user feedback
Maximizes the quality of customer relationships
Increased conversation retention and quality
Minimizes the cost of interactions
Improves the service model with greater robustness and quality
Audience segmentation and data extraction for companies
Analysis at scale and quickly
Rest API: easy interaction