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A Saa S chatbot business ecosystem has been steadily growing since the F8 Conference when Zuckerberg unveiled that Messenger would allow chatbots into the app..

The chatbot design is the process that defines the interaction between the user and the chatbot.

In order to speed up this process, designers can use dedicated chatbot design tools, that allow for immediate preview, team collaboration and video export The process of building a chatbot can be divided into two main tasks: understanding the user's intent and producing the correct answer.

The first task involves understanding the user input.

In order to properly understand a user input in a free text form, a Natural Language Processing Engine can be used.

Chat bots market growth is anticipated to be driven by proliferating demand for intelligent customer engagement, growing usage of mobile applications & websites, and rise in demand of computerized patient management tools in healthcare segment More recent notable programs include A. The bots usually appear as one of the user's contacts or as a participant in a group chat.

Thus, for example, online help systems can usefully employ chatbot techniques to identify the area of help that users require, potentially providing a "friendlier" interface than a more formal search or menu system. In 1984, a book called The Policeman's Beard is Half Constructed was published, allegedly written by the chatbot Racter (though the program as released would not have been capable of doing so). Two such annual contests are the Loebner Prize and The Chatterbox Challenge.

This sort of usage holds the prospect of moving chatbot technology from Weizenbaum's "shelf ... One pertinent field of AI research is natural language processing. Chatbots are often integrated into the dialog systems of, for example, virtual assistants, giving them the ability of, for example, small talking or engaging in casual conversations unrelated to the scopes of their primary expert systems.

Thus an illusion of understanding is generated, even though the processing involved has been merely superficial. Jabberwacky learns new responses and context based on real-time user interactions, rather than being driven from a static database.

ELIZA showed that such an illusion is surprisingly easy to generate, because human judges are so ready to give the benefit of the doubt when conversational responses are capable of being interpreted as "intelligent". Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimise their ability to communicate based on each conversation held, with one notable example being Kyle, winner of the 2009 Leodis AI Award.

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