Galiya Warrier demonstrates how to apply a conversational interface (in the form of a chatbot) to communicate with an existing data science model. Galiya walks you through taking an existing graph model built by a data science team and creating a custom conversational frontend (chatbot) on the top of it to allow nontechnical business users to query models using natural language.
Along the way, Galiya offers a brief overview of the current state of the conversation interface technologies and provides a number of demos on how existing data science models could be exposed using interfaces built using Microsoft Bot Framework in conjunction with a natural language processing library.
Galiya Warrier is a data solution architect at Microsoft, where she helps enterprise customers adopt Microsoft Azure Data technologies, from big data workloads to machine learning and chatbots.
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