Rasa works with a range of platforms, from Messenger to Slack, right out of the box. What what if you need Rasa to work on a new or different platform? In this talk, the why and hows of building we your own connector for Rasa are discussed, with an example of connecting to Cisco Webex and how this can be applied to any custom communication channel.
WHAT YOU'LL LEARN
Why do we need a direct communication channel
How to build a new connector channel
How to contribute to Rasa/Open sourceNahid is a Machine Learning Engineer at Ople - building an end-to-end AI platform. She has a varied experience founding startups, working at Venture Capital and Fortune 100 companies. She likes to lurk around Natural Language Processing (NLP) and specially interested in the Deep Learning based NLP techniques. She has worked in the Chatbot/language processing space for a number of years - initially in her startup and later at Cisco. Previously, she founded startups in the language processing and Voice UI. Earlier she worked at Intel.
Rasa Developer Summit - Nahid Alam, Ople.ai - Building a Custom Communication Channel for Rasa, a Case Study
Building a Custom Communication Channel for
Rasa - Case Study
Lead Software Engineer - Machine Learning, Ople.ai
Rasa Developer Summit - 2019
Channel for Rasa -A Case Study
Lead Machine Learning Engineer, Ople, Inc
Rasa Developer Summit’ 2019
Who Am I?
Exciting day job @ Ople.ai as a Lead ML
Engineer - building AutoML platform
Experience founding startups, working at
Venture Capital and Fortune 100 companies
BS and MS in Computer Science
Co-founder and CEO @ Litehouse.io
Sr. Software Engineer @ Intel
Sr. Software Engineer - AI @ Cisco