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Build Your Conversational Solution (Chatbot) with IBM Watson Assistant

Conversational applications (chatbots) are becoming popular way to provide better customer care, conversational commerce and employee productivity. IBM Watson Assistant enable software developers to develop chatbots quickly and integrate them with their applications. This 2-days workshop provides both basics and in-depth hands-on experience of Watson Assistant.

Date: from October 3 at 9:00 to October 4 at 17:00 Central European Time

We can provide limited workstations, so please bring your laptops to the workshop!

 

Target audience: IBM Business Partners, technical professionals, developers

Format: presentations, demos and hands-on exercises

Location: IBM Innovation Center, 1117 Budapest, Neumann J. u. 1., Hungary

 

With the IBM Watson Assistant, you can build an application that understands natural language input and uses machine learning to respond to users in a way that simulates a human conversation. During this workshop, we will create a fully functioning web application that uses the Watson Assistant service. If you are looking to add cognitive capabilities such as chatbot to your applications, come and participate at this workshop where you will:

  • learn how to design and create a chatbot with Watson Assistant, including latest features added in 2H 2018
  • integrate your chatbot with a web app and cognitive applications leveraging Watson Tone Analyzer, Watson Natural Language Understanding and Cloud Functions
  • test the efficiency of your chatbot with Watson Studio
  • improve your production chatbot using Watson Assistant analytics
  • learn how to use Watson Assistant APIs from your apps
  • see live demos of the platform in action and will be able to try it out for yourself

 

Agenda

Day 1 

  • Introduction
    • Overview, use cases, demos
  • Designing conversational solutions
    • Defining the chatbots purpose
    • Identifying the view point
    • Specifying the proactivity / reactivity
    • Chatbots tone and personality
  • Writing conversation interaction
    • Best practices in writing
  • Building conversational solution + lab
    • Key concepts: intents, entities, context variables, dialog, skill, assistant
    • Watson Assistants features that address key concepts
  • Building a dialog + lab
    • understand the navigation in dialog
    • manage simple and complex conditions
    • determine the right answers
    • how to easily capture customers info
    • managing disambiguation

Day 2

  • Improving conversational solutions + Lab
    • identify your chatbots weak points and improve them
    • asses your improvements with Watson Studio
  • Integrating conversational solutions using Watson APIs
    • introduction to Watson Assistant APIs
    • how to manage private data
    • create your first serverless bot
  • Watson conversation implementation cycle + Lab
    • introduce key steps in implementing a chatbot
    • assess the implementation by leveraging Watson Studio

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