Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

Critical factors in building successful AI-powered conversational interfaces

Paul Tepper (Nuance Communications)
1:45pm–2:25pm Wednesday, September 20, 2017
Impact on business and society
Location: Franciscan AB Level: Beginner
Secondary topics:  Bots, Deep learning
Average rating: ****.
(4.67, 3 ratings)

Prerequisite Knowledge

  • A general understanding of artificial intelligence technology and big data

What you'll learn

  • Explore the unique challenges chatbots present, available solutions, and critical factors in building successful chatbots and virtual assistants

Description

The past year has proven that chatbots are now a crucial component in any successful customer-facing organization, and they are poised to make an even larger impact in 2018. Chatbots are now delivering a more genuine, custom-tailored experience that mirrors the same personal and pleasant expertise often found in a traditional brick-and-mortar retail setting. For brands, this shift represents a lucrative opportunity to not only strengthen existing customer relationships but also open doors to new sales and increased revenue.

However, not all chatbots and virtual assistants are created equally. One of the biggest challenges related to chatbot implementation is how to best utilize the vast amounts of data companies have at their disposal. In order to create an accurate picture of customers and their needs, brands need to facilitate more meaningful conversations. Paul Tepper explores the unique challenges chatbots present, shares available solutions, and outlines a number of critical factors in building successful chatbots and virtual assistants.

Photo of Paul Tepper

Paul Tepper

Nuance Communications

Paul Tepper is the worldwide head of Nuance’s cognitive innovation group (CIG), focused on applying the latest advancements in machine learning and artificial intelligence to automate and improve the customer experience across channels. Paul is responsible for setting Nuance’s AI strategy and leading product development efforts in collaboration with Nuance’s definitional customers and Nuance’s AI Lab. Currently, he is focused on machine learning advancements in analytics, prediction, knowledge, and human-assisted learning. Paul has over a decade of experience in software development and AI research. He holds a PhD in computer science and communication studies from Northwestern University, an MSc in AI and NLP from the University of Edinburgh, and a BA in computer science, linguistics, and cognitive science from Rutgers University.