We built a basic chatbot in part I. We continue the journey by adding more digressions and handlers to our bot thereby giving it a personality. Additionally, we will explore the more advanced features in Watson Assistant using the JSON editor.  Finally, we will add a backend service layer built on IBM functions and IBM cloud. This enables our chatbot to queries other systems and databases to better assist the user during a conversation. We will go into the two types of communications offered in Watson Assistant - server and client.

Your speaker, Upkar Lidder, is a Full Stack Developer and Data Wrangler with strong experience in NodeJS and Python. Current passions include enjoying various kinds of Ramen, hiking, tennis and learning the magic behind ML. Always up for a chat over good coffee and/or beer.

Online Meetup: Empower your chatbot and add a personality