1 Can We Chat on Kanban A STORY

1 Can We Chat on Kanban A STORY ON CONVERSATIONAL CHATBOT BY SUBHAJIT SENGUPTA & SHARIQ SHAIKH

2 WHO ARE WE? WHAT WE DO? WHAT STORY? ©Digité

OUR JOURNEY WITH CHATBOT VISION EXECUTION Knowledge Base Dialogflow Chatbot PLAN & DESIGN Wireframe My Chatbot Google Web API DEPLOYMENT Knowledge Base Explore Platforms Application Explore Plug-ins Slack Skype ©Digité 3

4 “By 2020, the average person will have more conversations a day with bots than they do with their spouse” L. HEATHER PEMBERTON GARTNER ©Digité

5 CHATBOT TYPES ©Digité THE HELPER THE SOLVER THE SELLER THE TEACHER The Customer Service Chatbot like KLM’s chatbot The Utility Chatbot The Conversational Commerce Chatbot The Information Provider Chatbot

KNOWLEDGE BASE <<Video/GIF on Swift. Kanban Knowledge Base>> ©Digité 6

COMMENTS & FEEDBACK WORDPRESS BASED FAQ POWERFUL SEARCH AUTO-BUILD DYNAMIC TOC KNOWLEDGE BASE GOOGLE ANALYTICS CUSTOMER SUPPORT ©Digité DEVICE FRIENDLY PERSONA BASED APPLICATION TASK ORIENTED ©Digité

8 01 03 RESEARCH Po. C FRONTEND Explore Platforms & Plugins like Brainshop AI Chat My Chatbot 04 05 06 BACKEND STRUCTURE TESTING DIalogflow ©Digité 02 My Chatbot Intent, Entities, Training Phrases, Integration Training, Re-mapping

WHY DIALOGFLOW q No installation required, cloud based q Easy to understand concepts, Intuitive UI q Fast prototyping of chatbots, inbuilt 'try-it' q Very less training time q Integration with all major platforms q Small. Talk for common conversations q Powered by Google's strong NLU algorithms ©Digité 9

BACKBONE OF DIALOGFLOW 10 AGENT : Natural Language Understanding (NLU) modules INTENT: Maps user input to responses ENTITY: Identifies and extracts useful data from natural language inputs CONTEXT: Represents the current state of a user's request and allows your agent to carry information from one intent to another FULFILLMENT: Fulfillment is code that's deployed as a webhook that lets your Dialogflow agent call business logic on intent-by-intent basis ©Digité

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AGENT A module which can be included in your app, website, product, or service and translate text or spoken user requests into actionable data. This translation occurs when a user's utterance matches an intent within your agent. ©Digité 12

BACKEND INTERFACES Word. Press Plugin Dialogflow ©Digité

14 ENTITY Entities pick out specific pieces of information that users mention. System Entity @sys. date-time @sys. unit-area @sys. address ©Digité Custom Entity @Kanaban. card @Kanban. board @Team_Dynamics

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16 INTENT In each intent, you define examples of user utterances that can trigger the intent, what to extract from the utterance, and how to respond. Training Phrase ©Digité Actions & Parameters Response

17 Matched Utterances Matched Entities Response ©Digité

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DEFAULT FALL BACK INTENT I do not know the answer! What do I do? • Respond to user if there's no matching intent for the query • How can we use fallback intent for better User Experience? • The idea of Google Web Search API ©Digité 19

SMALL TALK How are you! Custom Entity You're beautiful I’m so excited! Custom Entity You're beautiful You’re beautiful! You're beautiful Who are you! ©Digité 20

INTEGRATION Integration with Google Assistant, Slack, Facebook Messenger, Twitter. Skype, Skype for Business, Amazon Alexa, Microsoft Cortana and so on. ©Digité 21

22 ANALYTICS Usage data: Number of sessions and queries per session. NLU data: Most frequently used intents and exit percentages. ©Digité

ROADMAP 01 Slack & Skype 02 Actionable 03 Test Automation 04 ©Digité RASA 23

24 READ https: //dialogflow. com/docs WATCH https: //goo. gl/bmdw. Tc CONTACT subhajit 1975@gmail. com / shariq. shaikh 191@gmail. com ©Digité

25 THANK YOU