{"id":9520,"date":"2025-01-17T09:30:23","date_gmt":"2025-01-17T09:30:23","guid":{"rendered":"https:\/\/www.d-id.com\/?post_type=af-resource&p=9520"},"modified":"2025-02-06T14:44:42","modified_gmt":"2025-02-06T14:44:42","slug":"conversational-ai","status":"publish","type":"af-resource","link":"https:\/\/www.d-id.com\/resources\/glossary\/conversational-ai\/","title":{"rendered":"Conversational AI"},"content":{"rendered":"\n

Conversational AI platforms are, in some ways, the ultimate link between people and artificial intelligence. When you use conversational AI solutions, there is no need to understand code or even type in a prompt. Instead, you simply ask questions as you would with an actual person and receive answers in the same way. Conversational AI technology<\/a> is more than a hands-free method of computer use; it represents how people will get the most out of groundbreaking artificial intelligence capabilities. <\/p>\n\n\n\n

Use Cases of Conversational AI<\/h2>\n\n\n\n

There are many ways to describe how conversational AI technology is being applied today in the real world. To name just a few, you will find conversational AI platforms being used in industries including retail, education, office administration, corporate training, and insurance.  <\/p>\n\n\n\n

Then there are the media through which AI-enabled services<\/a> are delivered. Examples are:<\/p>\n\n\n\n

Text Chatbots<\/h3>\n\n\n\n

If you\u2019ve ever gone to a website page and noticed a pop-up with the phrase \u201cCan I help you?\u201d, then you\u2019ve seen a text chatbot. They tend to involve the user typing in a simple request and the chatbot asking questions to refine the request until it provides a link to a relevant webpage or an actual answer. <\/p>\n\n\n\n

Voice Response Chatbots<\/h3>\n\n\n\n

One step up in user-friendliness from text is the voice response chatbot. Instead of typing in a query and getting a text answer in return, this technology allows you to ask questions or give commands verbally. Examples include Amazon Alexa and Apple\u2019s Siri. <\/p>\n\n\n\n

Interactive Agents<\/h3>\n\n\n\n

The technology behind interactive agents<\/a> adds another layer of sophistication to conversational AI solutions, namely, a lifelike avatar<\/a> that has the appearance and physical movements of a real person. This technology provides an even more natural context to the whole goal of conversational AI, which is to feel like you are communicating with another human being. In fact, the latest generation of interactive agents<\/a> has the ability to analyze (and express) non-verbal communication cues as a way of gaining a deeper understanding of what the user needs. <\/p>\n\n\n\n

Key Features of Conversational AI<\/h2>\n\n\n\n

There isn\u2019t exactly one strict definition that covers all types of artificial intelligence technologies. Some sources argue that there are three<\/a> kinds of AI, others seven<\/a>. In reality, AI is a continuum that is always developing in terms of abilities and terminology, while various layers of artificial intelligence work together to produce ever-innovative results.\u00a0\u00a0<\/p>\n\n\n\n

In the case of conversational AI, we can define it as the function that enables communication between user and computer through natural language processing (NLP; see below). The communication can be either voice or text. <\/p>\n\n\n\n

This helps to differentiate it from rule-based AI chatbots, where you need to use certain keywords and can only receive limited responses. In comparison, conversational AI platforms allow you to ask anything. As their underlying abilities \u201clearn\u201d more (i.e. through machine learning), their answers get better and minimize their \u201cI’m having trouble understanding you\u201d responses. <\/p>\n\n\n\n

How Does Conversational AI Work?<\/h2>\n\n\n\n

NLP is the core technology powering conversational AI. For the average user, you\u2019ll recognize NLP as the technology that allows you to talk instead of type. But there is a lot more to it than that. Firstly, NLP includes text, which is a capability of its own. Then, for voice communication, NLP must understand what you want regardless of accent, individual speech patterns, or the language you speak and then give you a relevant and understandable answer. Behind this ability are a range of functions:<\/p>\n\n\n\n