AI assistants are one of the most in-demand topics in the tech industry right now. With technology moving forward and data becoming more available, companies strive to build their own conversational software. When built well, AI assistants provide great strategic business value and are fun to interact with. However, the majority of assistants built to this day are developed using just a set of rules or a state machine and don’t go beyond simple FAQ interactions. This doesn’t scale in production and often provides a rather disappointing user experience
In this webinar, Rasa Developer Advocate Justina Petraityte will challenge the usual approach of chatbot development by introducing machine learning-based methods for dialogue management. Justina will cover the fundamentals of conversational AI, as well as machine learning behind natural language understanding and dialogue management. Finally, Justina will introduce you to the Rasa Stack—an open source framework which empowers developers around the world to build their own conversational AI without any black-box tools or limitations.
You can find the slides here.
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This webinar was recorded on Wednesday, March 20th, 2019.