Building Digital Assistants, Virtual Agents, and Chatbots

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Recorded on September 14, 2018 1:00 pm

Intelligent assistants and chatbots support communication in text or voice using human language (“natural language”) to provide information or a service. The AI technology can help a company talk to its customers or make its employees more efficient.

Digital assistants can be available on many channels, including customer service lines, web sites, mobile phones, intelligent speakers, and automobiles. Companies can also engage in conversations with customers through the general personal assistants such as Amazon’s Alexa or Google Assistant. A range of tools help companies take advantage of this rapidly maturing technology.

This webinar will outline the options available to a company that wants to develop an automated conversational application. The options range from deep involvement to tools that hide the underlying technology to professional services that do almost all the work. Dr. Meisel will also provide insights on the state of the technology and advice on best practices.

Learning Objectives

  • AI and conversational systems: What’s real and what’s hype
  • The range of tools available
  • The impact of different delivery channels
  • Maximizing the effectiveness of your digital assistant or chatbot

William Meisel, PhD
TMA Associates

Author of the newly published Building Digital Assistants, Virtual Agents, and Chatbots: A Vendor Guide

William Meisel, Ph.D., is president, TMA Associates, and editor of LUI News (a monthly newsletter on commercial applications of the Language User Interface), organizer of the Conversational Interaction Conference, author of a vendor guide on building digital assistants, and a consultant and analyst on market and product opportunities created by the maturing of speech and natural language technology. His experience includes directing the computer science division of an engineering company and founding and running a speech recognition company. He began his career as a professor of Electrical Engineering and Computer Science and published the first technical book on machine learning.

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