Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

Building conversational AI in-house in the Fortune 500

Alan Nichol (Rasa)
4:50pm–5:30pm Tuesday, May 1, 2018
Implementing AI
 Location: Beekman Parlor

Who is this presentation for?

  • Engineers and product managers

Prerequisite knowledge

  • Familiarity with machine learning concepts (e.g., training data, models, and fitting)

What you'll learn

  • Learn how to build conversational AI in-house, keeping your data on-premises and building a competitive edge

Description

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.

Topics include:

  • Project lifecycle and product management for conversational AI
  • Team composition
  • Strategies for collecting and managing training data
  • Lean iteration cycles and the road to success
Photo of Alan Nichol

Alan Nichol

Rasa

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.