Recent survey results from Europe and Latin America suggest a customer inclination towards the adoption of virtual assistants for routine queries, especially in situations where speed is a crucial factor. A recent survey of 900 business owners found that 57% of respondents experienced frustration due to lengthy wait times for answers. Furthermore, 62% of these customers expressed a preference for interaction with a virtual assistant rather than a human agent, as long as the latter ensured an intelligent process capable of providing faster responses.
To address these demands, our enterprise conversational AI platform offers cutting-edge technology backed by solid innovation and industry knowledge.
We have pre-trained neural networks, easily customizable and embeddable in the customer’s environment, that can provide personalized responses in real-time and provide recommendations based on the user’s profile, external data, and the customer’s previous history.
Natural Language Processing (NLU) is a field of artificial intelligence that focuses on the interaction between machines and human language
Not only recognizing words and phrases but also understanding the meaning behind them, including context, semantics, and speaker intent
Ability to interpret language in a specific context by understanding the subtleties and ambiguities of natural language
Comprehension also influences the generation of coherent and relevant human language. It enables machines to communicate effectively with users
Neural networks are used in multiple applications thanks to their ability to learn complex patterns from data and perform specific tasks efficiently
Automated Customer Care: Companies use NLU-based chatbots and virtual assistants to provide 24/7 customer care.
Customer Sentiment Analysis: NLU neural networks can analyze large volumes of online customer comments and reviews to understand customer sentiment toward a brand or product.
Fraud Detection: NLU neural networks are used to detect fraud patterns in financial transactions and detect suspicious activity in real time, helping to prevent fraud and protect corporate assets.
Automated Customer Care: Companies use NLU-based chatbots and virtual assistants to provide 24/7 customer care.
Customer Sentiment Analysis: NLU neural networks can analyze large volumes of online customer comments and reviews to understand customer sentiment toward a brand or product.
Fraud Detection: NLU neural networks are used to detect fraud patterns in financial transactions and detect suspicious activity in real time, helping to prevent fraud and protect corporate assets.
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Banking and Financial Services
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