Now that you have a bot live and deployed to your favorite social media, how can you continue to gather user feedback and improve your conversation ? How can the bot start to learn new terminology and content using your help ? We will look at the various metrics provided by Watson Assistant as well as adding code to our client and backend to improve our chatbot.

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.

Justina Nguyen is the Developer Evangelist for Dashbot where she fosters relationships with developers to understand their pain points and help integrate advanced conversational analytics. She's excited about utility-driven chat and voice applications that improve manufacturing, healthcare, and education. A fierce advocate for women and voice technology, Justina is on the leadership team of Women in Voice San Francisco.

Continuously improve your Watson Bot using analytics and metrics