1. Building and Integrating a Chatbot in 30 minutes
Visagan Santhanam, Lead Engineer
Muhammed Aslam, Information Architect
Unisys India
December 2018

2. Disclaimer
The contents and opinions expressed in the following slides and during this presentation session are purely the views of the presenters and not necessarily that of Unisys.
All third-party trademark and registered trademark rights are duly acknowledged and due credit is given.

3. Microsoft BoB
Microsoft Bob presented screens showing a "house", with "rooms" that the user could go to containing familiar objects corresponding to computer applications—for instance, a desk with pen and paper, a checkbook, and other items. In this case, clicking on the pen and paper would open the word processor.

4. Clippy
Clippy: Love it or hate it, everyone had an opinion about it. Despite the wide range of user opinions, this helpful paperclip was a forerunner in the area of chatbots.

5. Why Chatbots? Give me only one answer
Contrary to just publishing the information, people who use a chatbot can get to the information they desire more directly by asking questions.
chatbot can guide the user to the most relevant answer, instead of presenting a set of texts that might contain the correct answer.
More personalized user experience.
Personalized User Assistance and Help Content
Interactive experience.
More efficient than search

6. Chatbot ready content
It makes sense for chatbots to be a channel for our existing content, rather than give us extra work to do.
Write content in a way that it can be used in by a chatbot as well. In other words, write transformable content.
Underlying semantic structure of Chatbots can be mapped to the existing structured content.
Metadata and taxonomy in a structured content help the chatbot know which piece of information to serve the user.

7. Write at a Granular Level
With chatbots using question and answer key pairs as their ground truth, we could use this as our basis for writing content.
We might have Help topics that contain the specific answer to a specific question, with metadata and taxonomies to describe the context for when it applies.

8. Building a Chatbot Build your own AI engine Use an existing solution
AIML, or Artificial Intelligence Markup Language

9. Input for Chatbots Unstructured content Custom Question & Answers
Semi-structured content
(FAQ, Manuals)
Unstructured: Platforms such as IBM Watson can process a corpus of unstructured content.

10. Major Solutions
Enterprise Chabot solutions with Built-in NLP

11. Enterprise Chatbots features
Delivers natural and rich conversational experiences
Works with an array of platforms
Cross-device support
Support 14+ languages
Built-in Analytics
Less Coding*

12. Architecture

13. Chatbot Terminologies
Intent
An Intent is a specific action that the user can invoke by using one of the defined terms in the console. For example, the user could ask “Is it going to rain today?” or “Where is the nearest pizza restaurant”.
Entities
An Entity is a property which can be used by chatbot engine to answer the request from the user — the entity will usually be a keyword within the request such as a name, date, location etc.
Many chatbots has already contains a set of pre-defined system entities which can be used when constructing intent.

14. Chatbot Terminologies
Response
The response is the content which chatbot will deliver to our user once the request for fulfilment has completed.
On devices with screens this will consist of textual content and rich content if present  the textual content will be spoken to the user.
On hardware devices without screens the content will only be read out to the user.
Context
The Context is used to keep a reference to parameter values as the user moves between intents throughout the conversation.
Context is a powerful concept as it allows us to make decisions in our responses based off of these previous responses, repair conversations that may become broken for any reason and also branch off into different intents to create a fluid conversation with the user.

15. Demo
Create Agent
Add Intent
Add Response
Publish
Integrate

16. Q&A Visagan Santhanam Visagan.santhanam@unisys.com
linkedin.com/in/visagan-s-8830b911
Muhammed Aslam
linkedin.com/in/muhammed-aslam-5724b521