CI Conversational intelligence, or conversational intelligence, is a technique and methodology that focuses on analyzing human conversation with the aim of gaining insight and improving communication skills.

This approach uses artificial intelligence and machine learning techniques to capture, trantrane, and analyze spoken conversations in real time, helping businesses or individuals better understand the dynamics of conversations by analyzing patterns, emotions, keywords, and other contextual factors.

A key application of CI conversational intelligence is to identify common problems that customers face when using a product or service, and use that data to solve the problem and enhance the overall customer experience.

This can not only improve customer satisfaction, but also provide a competitive advantage for the business.

In addition, this technology can be applied to improve coaching strategies, agent performance and overall business performance.

It is worth noting that CI conversational intelligence does not refer to Corporate Identity System (CIS), although they are both abbreviated CI.

Enterprise identity systems focus on communicating uniqueness and values through unified visual, behavioral and other elements, while CI conversational intelligence focuses on analyzing conversational data to improve communication and business results.

Overall, CI Conversation Intelligence is a powerful tool that helps organizations and individuals understand conversations more deeply and gain valuable insights from them.

With the continuous development of artificial intelligence and machine learning technologies, CI conversational intelligence is expected to exert its value in more fields.