Conversational solutions - enable machines to engage in natural language conversations with humans.

Conversational solutions use natural language processing (NLP) and machine learning algorithms to understand the meaning behind human language and respond appropriately

Conversational solutions can be used in a wide range of applications, such as customer service, education, healthcare, and e-commerce.
They can provide more personalized and efficient services to users, reducing the need for manual intervention and enhancing the overall user experience.
They can also be used to gather data and insights about user behavior and preferences, which can be used to improve products and services.

Example of conversational solutions:

• Chatbots

  Conversational interface that can interact with users in natural language, typically used in customer service, virtual assistants, and other applications.

• Voice assistants

  Applications that use speech recognition and synthesis to enable hands-free, voice-activated control of devices and services.

• Conversational question answering

  Digital entities that can engage in natural language conversations with humans, typically used in customer service and other applications.