Conversational AI in 2018 is about as mature as the web was in 1994, but building conversational AI is fundamentally different from building websites or apps. Fortune 500 companies are hiring data scientists and building conversational AI in-house to create a competitive edge.
Alan Nichol shares a case study of a successful customer acquisition chatbot built by a large corporation and demonstrates how to build a useful, engaging conversational AI bot based entirely on machine learning using Rasa NLU and Rasa Core, the leading open source libraries for building conversational AI.
Alan Nichol is cofounder and CTO of leading open source conversational AI company Rasa, where he helps create the software that enables developers to build conversational software that really works. Rasa is trusted by thousands of developers in enterprises worldwide, including UBS, ERGO, and Helvetia. Alan has years of experience building AI-powered products in industry and is the author of the DataCamp course Building chatbots in Python. He was featured in Forbes’s 30 under 30 list. Alan holds a PhD in machine learning from the University of Cambridge.
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