Towards better conversational AI: the importance of open source and conversation-driven development
Developing good conversational AI assistants goes beyond picking the right tools and building the best machine learning models.
The biggest challenge lies far beyond that – it’s impossible to anticipate all the things your users might say when interacting with your assistant. That’s why you should always keep a close look at the conversations real users have with your assistant – they are the best data points out there to learn about what kind of things your users need and how they want to use your assistant.
In this talk, Justina will talk about how you can build your own conversational AI using Rasa’s open-source machine learning framework and why leveraging Conversation Driven Design (CDD) is crucial for building assistants that scale.
Head of Developer Relations at Rasa Technologies Inc.
Justina Petraityte is a Head of Developer Relations at a Berlin-based startup Rasa, where she focuses on building applications and educating developers on how to build their own conversational AI using machine learning and open-source tools.
Justina has a background in econometrics and data analytics, and her interests include chatbots, natural language processing, and open source.
Her curiosity for data science and human-behavior analytics has taken her to many places and industries; over the past four years, she’s worked in the video gaming, fintech, and insurance industries.