AI-driven ChatBots use one of the most advanced natural language processing models that means your chatbot is empowered by

• deep learning, and 
• predictive analytics. 
  

Language Selection

We set up your chatbot language the chatbot uses to respond. The default is Engish but if another language is required, please advise. At this time, we support 92 languages, including

* After setup, any further content submissions or content scoping changes will be charged at a rate of $66 per 30 minutes.

What is Conversational AI?

Chatbots are computer programs that can talk to you, introduce themselves, ask you questions, receive your answers, and provide you with a solution.

Conversational AI is the name for AI technology tools behind conversational experiences with computers, allowing them to converse ‘intelligently’ with humans. Conversational AI allows for a more organic conversation flow leveraging natural language processing and generation technologies. 

Conversational AI is the umbrella term for all chatbots and similar applications facilitating communication between users and machines like ChatGPT.

Where Can Chatbots Be Used?

ChatBots can be applied in education, B2B relationships, governmental entities, mental healthcare centres, and HR departments, amongst many other fields. Chatbots can automate responses by fetching answers from databases. route inquiries to human agents, address patient queries, make sales and generating leads, and generate meaningful conversations with users (e.g. mental healthcare chatbots or emotional chatbots)

How Does ChatBot AI Work?

Conversational AI applications rely on different technologies, such as 

• Learn at scale: By feeding off various sources (e.g. websites, databases, APIs), conversational AI not only can provide you with a larger domain of answers but can modify the output based on information updates.
• Autonomous Update: Leveraging machine learning algorithms that train continuously allows for automatic updates.
• Personalised Answers: Conversational AI keeps users’ data and can use historical data to make user interactions smoother and more personalised.
  

• Personalised Answers: Conversational AI keeps users’ data and can use historical data to make user interactions smoother and more personalised.
• Adapt To Specific Inputs: To provide conversational AI with contextual elasticity to conduct fluid interactions with specific references to your content. As well as adapt mid-conversation to different queries.
• Speak 92 Languages: Conversational AI systems, trained using multilingual data, can work simultaneously in different languages while sharing the same overall logic and integrations.
  

Legacy Chatbots and Conversational AI?

Managers might have difficulty choosing between a chatbot or a conversational AI application for their practice because both can receive commands and provide answers. Whereas all conversational AI applications are chatbots, not all use conversational AI to the same degree, and that is because chatbots’ specifications vary concerning the field in which they are used. 

Legacy Chatbots primarily use natural language text interfaces constructed via pre-determined guidelines. This setup requires specific request input and leaves little room for the bot to do anything different than it’s programmed. Unless the programmer updates or changes the foundational codes, every interaction with a chatbot will, to some extent, feel the same.

Conversational AI, on the other hand, combines sentiment analysis, user intent recognition, and continuous machine learning to enable the software to understand requests and questions which still need to be programmed and answer them by leveraging both structured and unstructured data in the business database. Thus, conversational AI can improve its functionality as user interaction increases.

Legacy chatbots function by a predefined flow, whereas conversational AI ChatBots can learn and intelligently update over time.

Here we explain the differences between chatbots and conversational AI, look at what each one does, and review some of their use cases to help you decide which fits your practice best.