The definition of chatbot and conversational AI
A chatbot or virtual assistant is a robot that understands human language and responds to it with voice or text. Hence the use of “chat” before “bot”. It is an essential distinction since not every bot is a bot (e.g., malicious bots, etc.). Chatbots may be straightforward question-and-answer type bots programmed to respond to given requests. A bot relies on natural language processing (NLP) technology which allows it to understand user requests and respond accordingly (but only if trained to do so). Chatbot features:- focused on keywords,
- rule-based,
- predefined answers,
- it can’t study with time,
- guided navigation,
- needs a reconfiguration for any updates,
- human service,
- it takes a long time to scale.
- comfortable,
- multilingual format,
- dialogue-oriented,
- dynamic interactions,
- significant scalability,
- multichannel,
- use of deep learning technology,
- the ability for self-learning.
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The differences between conversational AI and chatbot solutions
The similarity between chatbots and conversational AI is they are both conversational and can be used to interact with users (customers, employees, etc.) through conversational interfaces using the power of natural conversation. You may have text or voice conversations over various digital channels such as the web, mobile devices, messaging, SMS, email, or voice assistants. To better compare chatbot vs. conversational AI, the experts decided to classify all their features according to several criteria. Let’s read about the main aspects.Training period
The standard rule-based approach to chatbots requires 6 to 9 months of training. In addition, predetermined conversation flows often cause inadequate and unsatisfactory comprehension. With conversational AI resources, the learning process is accelerated by unsupervised NLU, allowing applications to understand user input and generate much better responses. Through studies from previous interactions, the AI-driven chatbot gained the ability to provide multiple answers.Ability to have complex conversations
Standard chatbots can’t understand multiple intents compared to conversational AI, which may use various commands in a single conversation. Thus, simple bots only solve simple queries. If the client asks questions containing two different aspects, the chatbot will answer the first one and ignore the second part of the request. After that, to solve another part of the request, the customer must repeat it separately so that the chatbot may understand it. Conversational AI can switch between topics and give customers complex and precise answers within a single conversation. Moreover, with the help of AI, the application may perform several tasks, for example, reserve a table in a cafe and make a note on the calendar accordingly. The AI can view orders to see which ones have been canceled by the company and not yet returned and then provide information about that scenario.Scalability and consistency
Unlike chatbots, which are not connected and scattered across different platforms, conversational AI is powered by various sources and functions as a single conversational stream. It means conversational AI handles smooth user interactions without having to create output by manually inserting it into the stream. With conversational AI, virtual or digital voice assistants can be integrated across the company and speak the same way. If users start a conversation through one and want to switch to another, the conversational AI will automatically complete the task.Automate 84% of user questions
AI Engine can transform your data into knowledge, and answer any question your users asks, complexity automatically