Cognitive Enterprise

Register for a Watson webinar on how chatbots can tackle curveball questions

Share this post:

Key Points
– Chatbots are designed to understand and communicate with users — however, questions often cover subject matter that the chatbot hasn’t yet learned
– Find out how your bot can get the answers to questions that it hasn’t been trained on by combining Watson Discovery Service and Watson Conversation Service
– Watch our free webinar on “Leveraging the long tail to build chatbots for a more engaging user experience.”

Watch the replay video of our webinar

 


WEBINAR DETAILS:
Please join us on Wednesday, July 12 at 1pm ET
Speakers: Joe Scherping, Associate Offering Manager – Watson Platform and Chris Desmarais, Offering Manager, Watson Conversation
Watch the on-demand webinar today

In this technical webinar you’ll learn how to build a chatbot using Watson Conversation and extend its function using Watson Discovery’s cognitive search to answer questions beyond modeled intents. The app lets users ask about Conversation’s technical documentation and returns answers and relevant technical documents using the language and context of questions to retrieve the most appropriate answers for the more complex inquiries. Find out how to use Watson Conversation with Watson Discovery together to build chatbots that create more engaging user experiences.

Extend your chatbot capabilities with an insights engine

Given the abundance of accessible information and channel options, people are looking to have their complex and less commonly asked questions answered as quickly as possible. Whether they are looking to change their billing information on a customer service call or for great restaurant recommendations in a new city, customers want personalized responses right at their fingertips. Chatbots can be trained to respond with useful solutions to these questions, however, at times inquiries may go beyond a chatbot’s modeled intents.

When you think of chatbots, you can categorize responses broadly into two groups that we refer to as common short-tail responses and more unique long-tail responses. Short-tail responses recognize simple questions and commands such as, “Can you turn on my wipers?” Conversation is trained to identify specific intents and provide solutions to these short-tail questions.

There are also long-tail questions, such as “How do I check my tire pressure?” that are outside what the chatbot is trained on and therefore don’t have defined intents. In these instances, the chatbot must refer to other content sources, such as FAQs or a manual, to successfully answer the user.

 

Learn more about combining Conversation and Discovery from the experts. Watch our On-Demand “Build with Watson” webinar.

Try Watson’s APIs to build your next smart app or solution in minutes

Add Comment
2 Comments

Leave a Reply

Your email address will not be published.Required fields are marked *


Vivek Verma

hi, I am late to find out about this webinar about ChatBot. I am very interested in learning about it as this is one of the hot discussions in the today’s world. It’s not allowing me to register or launch presentation. Assuming its because webinar has already been started. Is it possible to share the recording with me?

Reply
More Developers Stories
September 21, 2017

Why Watson? More accuracy. Less training time. Insanely better CX results

Nearly 80% of contact centers say their current customer service systems won’t meet their future needs. Traditional CX data systems classify and organize data for streamlined reporting, often leading to the oversimplification of complex customer interactions, leaving qualitative data ‘in the water,’ dark. Learn how Max Kelsen is using AI to shine a light on customers’ dark data to help them realize greater value from their entire data berg, not just the tip, creating custom knowledge domains 66% faster and with 97% accuracy.

Continue reading

September 19, 2017

IBM Study – C-Suite innovators say AI will make biggest impact on personalizing customer experience

We interviewed over 3,000 C-suite executives in 20 industries and 90 countries to understand their approach to AI and cognitive technology. More than half of them believe AI gives them a competitive advantage by improving customer experience. To compete, organizations are “rewiring” their operating models for speed and responsiveness.

Continue reading

September 11, 2017

Hiring Heroes: How Woodside Energy works with IBM Watson

Key points: – Woodside Energy has been working with Watson to make decades of expertise available to its engineers. – Watson ingested the equivalent of 600,000 pages of information, or 30 years of knowledge – Watson helped reduce the time spent searching for expert knowledge by 75% Learn more   Woodside Energy is Australia’s largest […]

Continue reading