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

Conversational AI: What we’ve learned from millions of AI conversations with thousands of customers

Dr. Sid J. Reddy (Conversica)
2:35pm–3:15pm Wednesday, May 2, 2018

Who is this presentation for?

  • Data scientists, engineers, and CxOs

Prerequisite knowledge

  • A basic understanding of data science or AI

What you'll learn

  • Learn how to use natural language understanding for conversational AI, the pros and cons of different machine learning algorithm classes, and lessons from Conversica's experience


Sid Reddy outlines Conversica’s artificial intelligence approach to creating, deploying, and continuously improving an automated sales assistant that engages in a genuinely human conversation at scale with every one of an organization’s sales leads. Sid shares empirical data to assess how personalized, responsive, and helpful the AI assistant is along with observations on the ability of the assistant to help in increasing sales. You’ll learn how an artificial intelligence assistant can free humans to focus on higher-value activities and even lead businesses to employ more people, not fewer, as a result of implementing AI. Sid covers the development of the system, which has been trained using state-of-the-art machine learning algorithms over linguistic features computed from millions of real conversations between leads and clients and explains why the assistant is successful in increasing sales, improving marketing, and gathering critical business intelligence.

Photo of Dr. Sid J. Reddy

Dr. Sid J. Reddy


Sid Reddy is chief scientist at Conversica. A recognized expert in natural language processing (NLP) and computational linguistics, Sid has designed, developed and contributed to dozens of NLP systems used in production in a wide array of use cases and industry verticals from healthcare, business intelligence, and life sciences to legal and ecommerce, including creating text-mining infrastructures from scratch at startups and at the Mayo Clinic and founding an NLP lab at Northwestern University. Most recently, Sid was a principal applied scientist at Microsoft. His research ranges from using functional theories of grammar for association extraction and question-answering to acquiring lexical resources through distributed word vector representations learned from big data and applying them to improve the state of the art in sequential labeling tasks. He is a patented inventor, sought-after industry speaker, and published author with research featured in over 50 peer-reviewed publications and technical conferences. Sid holds a bachelor’s degree in computer science from the Indian Institute of Technology and a PhD from Arizona State University.