veyepar: Conversational Interfaces for Chatbots and Artificial Intelligence

Author(s):	Don Holloway
Location	Barbie Tootle
Date	jul Sat 28	Days Raw Files
Start	16:30	First Raw Start	16:10
Duration	0:30:0	Offset	0:19:17
End	17:00	Last Raw End	16:59
Chapters	00:00 0:10:45 0:23:56
Total cuts_time	24 min.

https://pyohio.org/2018/schedule/presentation/27/
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Attendees will get an understanding of key concepts for conversational interfaces which are used to create chatbots, as well as, some examples of the python libraries and code which can be used to create them.

Conversational interfaces are increasingly becoming a preferred way for users to engage with information.  This is particularly true for younger users.  Conversational interfaces offer a more personalized user experience, as well as, a means to walk a user through a potentially complex series of requirements.

That ability to determine the user’s intent, combined with the ability to step them through a series of relevant questions makes it particularly well suited for interfacing with artificial intelligence systems which often require precisely structured input to deliver meaningful insight.

The presentation will provide an overview of conversational interfaces, integration with front end communications channels, and back end artificial intelligence systems.

An example will be shown which illustrates the end to end concepts covered. The presentation will use RASA Core, an open source Python machine learning based dialogue engine for conversational software, to show the process and benefits for training data on specific domains.   The example will show the framework integrated with Twitter and Facebook messenger as communications channels, and the ability to direct actions to multiple AI backends.

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