PROGRAM

Topics will include

  • Automating customer service with speech recognition at call centers, chatbots at web sites, connections through the general personal assistants (e.g., Amazon Alexa and Google Assistant), apps on smartphones, messaging applications, and more!

  • Helping employees use company services such as human resources with NLP for Frequently Asked Questions and more.

  • Making more effective use of enterprise software by allowing the use of NLP, including speech recognition, to improve timely and accurate use by employees of enterprise software, such as databases.

  • Providing human-language interfaces for applications for web sites or mobile phones, adding a major user interface innovation to your service or tool.

  • Individual technologies that can be used to support creating an NLP interface or developing a tool to support developing NLP applications.

  • Innovating with applications using a human-language interface: What is your idea?!

  • Understanding the implications of unstructured text and voice data using NLP and possibly speech recognition, including analytics software.

Provide your email and we’ll let you know when speakers and the final program are posted

MONDAY | PACIFIC STANDARD TIME

9:00 AM

Keynote Panel: The state of deployable conversational technology and how it will evolve

Speech recognition and natural language processing are developing technologies.

What is their status today and how will they evolve?

9:40 AM

Virtual agents for customer service

Bots and assistants can improve the customer experience by directly addressing an issue posed in natural language or connecting quickly with the appropriate agent.

10:00 AM

Chatbots on web sites: Keeping the conversation going

As chatting on web sites by text or voice gains popularity, well-designed natural language technology can provide immediate response and appropriate default to human agents.

10:20 AM

Multi-channel digital assistants

Customers interact with companies through call centers, web sites, mobile apps, messaging apps and more. The basic NLP is the same, and can be used to support multiple channels with one development process.

10:20 AM

Multi-channel digital assistants

Customers interact with companies through call centers, web sites, mobile apps, messaging apps and more. The basic NLP is the same, and can be used to support multiple channels with one development process.

10:40 AM

Connecting through the general digital assistants

Amazon’s Alexa, Google Assistant, Apple Siri, and more provide the option to connect to an outside company for customer support or an application using conversational technology. How can your company work through these increasingly important channels?

11:00 AM

Augmented Intelligence for employee access to enterprise applications

Make employees more efficient by letting them interact with human resources or enterprise software with conversational technology.

11:20 AM

Analytics: What you can learn from unstructured voice and text data

Customers interact with companies through call centers, web sites, mobile apps, messaging apps and more. The basic NLP is the same, and can be used to support multiple channels with one development process.

11:40 AM

Supporting a conversation: More than Q&A

Much of today’s conversational applications don’t retain full context of a conversation. Full dialog management can make such applications smarter and more natural.

12:00 NOON

Lessons from deployed conversational applications

Theory is fine, but experience is real. What are typical issues where deployed applications have problems?

12:20 PM

Practical challenges in building conversational interfaces

Core conversational technologies are tools. Building an effective application requires a bigger toolkit.

12:40 PM

Building speech recognition and NLP for your context

A key factor in the success of company-specific chatbots or digital assistants is tuning to the limited context of what your company provides.

TUESDAY | PACIFIC STANDARD TIME

​9:00 AM

Natural dialog: What makes the difference?

Providing a known response to a typical question can be useful, but can result in most inquiries defaulting to an agent. How do you expand beyond the obvious?

9:20 AM​

Maintaining a dialog

Avoid defaulting to an agent too quickly by creating responses that maintain a dialog, for example, by asking a clarifying question rather than simply “I can’t help you with that.”

9:40 AM

Talking back: Natural text-to-speech synthesis

Text-to-speech synthesis is a critical conversational technology. Today’s solutions have gone well beyond being simply understandable.

10:00 AM

Keynote Talk: Creating Effective Bots and Assistants

Insights from the experience of an expert.

​10:40 AM

A Case Study in Conversational Customer Service

Full automation of customer service can avoid default to an agent and frustrating a customer with a long wait.

11:00 AM

Conversational commerce: Emerging architectures

How does a full platform support applications using natural language to support commercial applications?

11:20 AM

Conversational Interaction with Enterprise Software

Enterprise software can make employees more effective if they use it properly and consistently. A conversational interface makes that more likely.

11:40 AM

Conversational interaction with backend software

Answering a conversational inquiry often involves accessing sources such as a company database. Such connections can be built into conversational platforms.

12:00 NOON

Keynote Panel: Building Bots and Assistants

Experts bring their experience to a range of challenging questions.

12:40 PM

Conference Wrap up: Building Bots and Assistants

William Meisel, AVIOS Executive Director and the conference organizer, will summarize key takeaways from conference talks

© 2023 by Conferences Website. Proudly created with Wix.com

  • Facebook Classic
  • Twitter Classic