Deploying chatbots and conversational analysis: learn what customers really want to know
Who is this presentation for?Non-technical or Business audience
In the customer service domain, virtual assistants and spoken dialog systems are increasingly deployed to cut costs. The conversation logs are typically only used for finding intent matching errors and improving the bot itself. However, by performing deeper analysis of the user turns in a conversation, your customers may be telling you much more about your company and the quality of your self-service offerings.
For example, the U.S. Army learned through deep analysis of its bot conversations that active military personnel were frequently asking it about Post Traumatic Stress Disorder (PTSD) symptoms and support, most likely because they were ashamed to talk with a human where they could be perceived as weak or pulled from duty. This was a surprise to the Army as the chatbot was intended for recruitment topics, but because of this discovery the Defense Health Agency was informed that they needed to provide more anonymous self-service PTSD resources for soldiers.
In this talk, vendor-agnostic trade-offs between build or buy for natural language self-service solutions such as chatbots will be highlighted. Once a bot is in place, motivations and techniques for deep conversational analysis are covered as well as several real world examples. The discoveries possible through these solutions have enabled companies to change their websites or customer service models to conform to what their users were really seeking for, increasing customer satisfaction and retention.
What you'll learn
Verint - Next IT
Ian Beaver, PhD is the Chief Scientist at Verint Intelligent Self Service, a provider of conversational AI systems for enterprise businesses. Ian has been publishing discoveries in the field of AI since 2005 on topics surrounding human-computer interactions such as gesture recognition, user preference learning, and communication with multi-modal automated assistants. Ian has presented his work at various academic and industry conferences and authored over 30 patents within the field of human language technology. His extensive experience and access to large volumes of real-world, human-machine conversation data for his research has made him a leading voice in conversational analysis of dialog systems. Ian currently leads a team in finding ways to optimize human productivity by way of automation and augmentation, using symbiotic relationships with machines.
Aryn Sargent is a data analyst with over 6 years of experience leading the identification and acceleration of successful solutions for enterprise conversational AI and Intelligent Virtual Assistants. Over the past six years, Aryn has held numerous roles within Verint Next IT including key positions within product management, product strategy, and data analysis. Today, Aryn leads strategic accounts and clients in identifying and defining IVA understanding and knowledge areas through the use of proprietary AI-powered tools to analyze unstructured conversational data. She is responsible for client’s automation strategies and evaluating, measuring and growing their success; defining tactical knowledge areas to achieve long-term vision. When she’s not working with data sets, she is well known for her green thumb in the garden and her love of dogs, fostering dogs in need until they find a loving, forever home.
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