Ⓒ CONVERSATIONAL INTERACTION CONFERENCE  - ALL RIGHTS RESERVED 2016
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SAVE THE DATE - Jan 30-31, 2017

In the Heart of Silicon Valley

Mobile Voice Conference

is now the: 
Conversational Interaction Conference

 

READ THE PRESS RELEASE

Organizers

Applied Voice
Input Output Society

Interaction with digital devices and applications by text or speech in natural language is becoming increasingly important and increasingly feasible. The CI Conference will discuss how companies and application developers can take advantage of this trend—including resources for creating bots and digital assistants, delivering customer service in natural language, best practices, examples of deployed solutions, and other commercial opportunities generated by the trend.

Gold Sponsor
Silver Sponsor
Supporting 
Sponsor
Media Sponsors

SOME OF THE TOPICS TO BE COVERED:

Resources: Tools, technologies, and companies that can help you develop natural language connections with your customers

  • Templates and tools tailored to types of bots and digital assistants

  • Using outside services to accelerate deployment

  • Building a natural language system with pieces from different vendors

 

Developing bots and digital assistants

  • Texting with a digital system

  • Talking with a digital system

  • Big Data: Getting the data you need to develop a bot using machine learning

  • Small data: Using linguistic tools that don’t require big data

  • Integration with a Graphical User Interface

  • Multi-channel support

  • Controlled interaction vs. flexible natural language

  • Dialog: Conducting a conversation with context

  • Adaptation and machine learning

 

Reducing the mystery of AI

  • Discover the reality of intelligent interfaces between humans and machines

 

Connections

  • Integrating your digital assistant with general personal assistants and messaging services

 

Applications: A focus on results

  • Contact centers

  • Web sites

  • Mobile apps

  • Messaging

  • Interactive advertising

  • Robots

  • Home hubs

  • Internet of Things

  • Specialized devices

Core technologies

  • Speech recognition

  • Text-to-speech speech synthesis

  • “Wake-up” and embedded speech recognition

  • Natural language understanding

  • Dialog design

  • Speaker identification

  • Speaker authentication

  • Analytics and knowledge representation

 

Case studies and best practices

  • Examples of deployed systems

  • Building effective conversations

 

Connecting with customers

  • Natural-language IVRs

  • Building a customer service or technical support assistant

  • Chatbots on your web site

  • Letting customers connect from outside services such as messaging apps

 

Improving internal company operations with assistant technology

  • Improving use of enterprise software with an intelligent connection

  • Giving customer service agents a virtual assistant to help them serve customers

  • Making employees such as sales forces more effective with a voice and mobile connection

  • Giving workers a hands-free option in the warehouse and elsewhere

 

Inventing the next big thing!

  • Be inspired by the growing ability of intelligent interfaces