Category Archives: Tuesday

D202: Keys to Measuring an NLU Implementation

Track D: STATISTICAL LANGUAGE MODELS – Tuesday 25 April 
11:45 – 12:30

If your company is looking to implement natural language, what metrics are you going to use for determining success? This talk will compare several natural language deployments to help you understand when NL is a good fit and the metrics you should consider tracking to determine success. We’ll compare and contrast several NL deployments across verticals to understand how those industries created their business case and the deployment results.

Presented by: Jenny Burr

B202: Spoken Language Interaction With Autonomous Devices

Track B: TALKING WITH THINGS – Tuesday 25 April 
11:45 – 12:30

The world is increasingly filled with devices that can move around and do things on their own. These include toys, robots, drones, vacuum cleaners, lawnmowers, and many other devices. Consider spoken language interaction with devices that move and how this interaction is different from interaction with stationary devices. We discuss safety, real-time requirements, and feedback from a device that could be out of sight, as well as programming and scheduling the actions of an autonomous device.

Presented by: Deborah Dahl

A202: Unified Natural Language for Messaging Bots and IVRs

Track A: BOTS – Tuesday 25 April 
11:45 – 12:30

Natural language (NL) democratization is happening at a dizzying pace with the advent of text bots (chatbots or virtual agents). Most messaging bots cannot deliver a high level of NL accuracy that is table stakes for enterprise IVRs. Learn how a unified technology stack can leverage the same NL models for both chat bots and IVRs and meet and exceed enterprise NL accuracy expectations. Emphasis will be on statistical language models, statistical semantic interpreter, and predictive technology that further enhances NL intent accuracy for both IVRs and bots.

Presented by: Tajinder Singh

KEYNOTE LUNCH – From IVR to IoT: Digital Transformation in the Real World

Track A: BOTS – Tuesday 25 April 
12:30 – 13:45

Does it seem like all the businesses around you are hurtling toward digital transformation at warp speed, while you’re still trying to figure out where to begin? Don’t worry; you’re not alone! This presentation provided fresh insights into a more holistic (and more human) approach to digital transformation—an approach that has the potential to change your customers’ lives, not just your technologies.

Presented by: Allyson Boudousquie

C203: Digital Assistant With Co-Pilot Expertise

Track C: VIXD – Tuesday 25 April 
13:45 – 14:30

Despite state-issued bans, the use of cellphones while driving is on the rise. How can we manage proper access to smartphone services while driving? Learn how smart, context-aware digital assistants with co-pilot expertise estimate the level of driving risk; evaluate driver attention and ability to respond to emergencies; interact with the driver, knowing when to speak or not; and inform and coach drivers to minimize risks and improve their performance.

Presented by: Malgorzata Stys

D203: Why Some Conversational Apps Actually Work, and How to Build One

Track D: STATISTICAL LANGUAGE MODELS – Tuesday 25 April 
13:45 – 14:30

Teams that use rule-based approaches to build demos of voice or chat assistants run into trouble when trying to take those apps to production. This happens because as you go beyond “toy” demo functionality, the rules rapidly become unworkably complex. To handle human language in all its endless variation, statistical NLU models are needed. This talk shows how you can build production-ready conversational apps in ten steps, using machine-learned language models and AI algorithms.

Presented by: Karthik Raghunathan

A203: Voice Services in the World of Bots

Track A: BOTS – Tuesday 25 April 
13:45 – 14:30

Conversational commerce now spans apps, virtual agents, and services offered through smartphones, home electronics, automobiles, public kiosks, and elsewhere. This talk describes real-world use cases that integrate speech processing with natural language understanding, analytics, knowledge management, and other enterprise infrastructure. Hear how conversational commerce is taking shape. Learn how the world of apps, virtual agents, and smartphone services relates to each other. Will they compete or cooperate? Will they integrate into some new powerful capability?

Presented by: Dan Miller

B203: Voice Biometric Speaker Verification Fused Into Voice-Enabled Devices

Track B: TALKING WITH THINGS – Tuesday 25 April 
13:45 – 14:30

Many speech-enabled products are incapable of recognizing users, allowing kids, friends, and complete strangers to control these devices. By fusing speech recognition technology and voice biometrics, only enrolled users can interact with devices and services, subject to restrictions set by the owners. Hear about new deep learning speech recognition technologies that fuse accuracy and performance with voice biometric security technology that will secure users from identity theft, and enable parental controls as the voice revolution continues to take shape.

Presented by: Bernard Brafman

D204: PANEL: Enterprise Use Cases for Speech Technologies

Track D: STATISTICAL LANGUAGE MODELS – Tuesday 25 April 
14:45 – 15:30

451 Research survey data shows that consumers are increasingly adopting connected devices and applications, such as Amazon’s Echo and virtual assistants such as Cortana and Siri. We expect these trends to extend into the enterprise. This session looks at specific use cases that represent near-term opportunities where speech technologies transform the user experience and redefine how organizations create and deliver value. Key challenges for adoption of speech-enabled devices and applications in the enterprise are identified.

Presented by: Raul Castanon-Martinez, Jordi Torras, Dan Reich, Alok Pant, Tony Lucas, Paul Tepper

B204: Why You’ll Want a Robot

Track B: TALKING WITH THINGS – Tuesday 25 April 
14:45 – 15:30

“Social robotics” has been cast about as a developing field for a couple years, but what happens when an affordable, consumer robot hits the marketplace? This talk looks at the early metrics gathered from the first few months of Jibo’s experience in the field, focusing on why people buy him, what they do with him, and what they hope to see in the future.

Presented by: Peter B Krogh