Ⓒ CONVERSATIONAL INTERACTION CONFERENCE  - ALL RIGHTS RESERVED 2016
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In the Heart of Silicon Valley

2020 PRELIMINARY PROGRAM

Monday, February 10th

8:00 - 8:45

KEYNOTE to be announced

8:55 - 9:45 

TRACK 1

The state of conversational technology

TRACK 2

The voice and personality of your application

9:55 - 10:45 

TRACK 1

Case studies 1: Experience with deployed conversational systems

TRACK 2

Advanced features in conversational systems

10:55 - 12:00

TRACK 1

Customer service and marketing

TRACK 2

Where AI fits in conversational technology

1:15 - 2:15

TRACK 1

Digital assistants and chatbots: The options

TRACK 2

Analyzing natural language data

2:25 - 3:25

TRACK 1

Digital Assistants in the Enterprise

TRACK 2

The state of Natural Language Processing technology

3:35 - 4:15

TRACK 1

Innovative speech recognition applications

TRACK 2

Building conversational systems that engage users

4:30 - 5:30

TRACK 1

Best Practices in developing conversational systems

TRACK 2

Technology challenges in conversational systems

Tuesday, March 12  |  8:00 - 9:15 

KEYNOTE PANEL | Building a digital assistant or chatbot--What works and what doesn't

Tuesday, March 12  |  9:25 - 10:10

TRACK 1

Digital assistants in customer service

TRACK 2

Options in developing a conversational assistant

Tuesday, March 12  |  10:20 - 11:05

TRACK 1

Automating customer interaction through multiple channels

TRACK 2

Natural language interaction in complex customer service

Tuesday, March 12  |  11:15 - 12:15

TRACK 1

Making workers more efficient

TRACK 2

Naturally! Not so easy

Tuesday, March 12  |  1:30 - 2:15

TRACK 1

Case studies 2: Experience with deployed conversational systems

TRACK 2

Natural language tools: A wide range of options

Tuesday, March 12  |  2:25 - 3:25

TRACK 1

Building digital assistants intelligently

TRACK 2

Challenges in conversational interaction

Tuesday, March 12  |  3:35 - 4:45

TRACK 1

Case studies 3: Experience with deployed conversational systems

 

TRACK 2

Creative improvement to the user experience