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Frequently asked questions

• What is the difference between conversation AI and generative AI?

  On one hand, conversational AI can think and create responses based on the context of the conversation. However, generative AI is used for creating unique content, for example, stories, digital images, music, and videos. 

• What is the difference between chatbot and conversational AI?

  Conversational AI provides responses based on the context of the conversation. However, a chatbot just gives answers based on some pre-defined algorithm. Chatbots are the less advanced version of conversational AI that is helpful in achieving short and one-way communication. 

• What are the features of conversational AI?

  Some of the features of Conversational AI include omnichannel UI, natural language processing, intent identification, sentiment analysis, response generation, context awareness, program generation, problem-solving, and integration. 

• What is the difference between conversational AI and intelligence?

  In a nutshell, Conversational intelligence analyzes the entire conversation and provides valuable insights. However, Conversational AI is just a real-time text and voice assistant that people can use on their phones, such as Siri or Alexa.

• What is an example of conversational AI?

  Siri by Apple, OK Google by Google, Bard By Google, and Cortana by Microsoft are some of the examples of Conversation AI.

• What are the ethical challenges in conversational intelligence with AI?

  Some of the ethical challenges are transparency issues, biases in answers, and empathy for a certain subject.

• Can conversational AI systems learn and adapt over time?

  Yes, it can. With the help of machine learning capabilities, AI systems learn over time. This helps AI to improve their responses and provide more precise answers.

• Does conversational AI Have sentiment analysis?

  Sentiment basically means emotional tone, and indeed, conversational intelligence can delete Sentiment in a conversation. AI takes leverage of this algorithm and gives responses according to the context of the question asked.

• Can AI handle multi-language conversations in conversational intelligence?

  Yes, it can. Using natural language processing (NLP), AI can be trained in different languages. It helps in communicating with people who do not know English as their primary language. 

• Are there privacy concerns related to conversational AI?

  Yes, there are privacy concerns with conversational AI. Employees should not share personal or sensitive information, and companies should implement data protection methods; this will help in building trust in the brand.