About the talk
The challenge with building great AI assistants is that it’s impossible to anticipate all the things your users could say. But the opportunity is that in every conversation, users are telling you—in their own words—exactly what they want. Agile, DevOps, and user testing are established methods for building reliable applications and a better user experience, but conversational software presents unique opportunities and challenges. Conversation-driven development, or CDD, is a blueprint for applying these practices to building AI assistants. Alan Nichol, CTO and Co-founder of Rasa will discuss the 6 steps that make up conversation-driven development. Alan will discuss how product teams can use CDD to learn what users want and turn insights into meaningful improvements. CDD can be used by product managers, designers, and developers—anyone interested in building AI assistants with lower abandonment rates, higher resolution, and continuous improvement over time.
Alan is co-founder and CTO of Rasa, the leading open source conversational AI company. Rasa builds software that enables developers to build conversational software that really works, and is trusted by thousands of developers in enterprises worldwide. Rasa combines applied AI research with enterprise-ready technology. Alan holds a PhD in machine learning from the University of Cambridge and has years of experience building AI-powered products in industry.View the profile
I want thanks for joining my talk as a day of the European Chapel. I am the co-founder and CTO of Rosslyn and vows. An approach and a falsity to building conversation Lehigh, that we go, conization driven development. Firstly, you know, just a very, very quick one. Slight introduction to rasa. And what we do is, we build the standard infrastructure for conversational AI, as we build, a very widely used open-source Library, which is used across a whole bunch of
different Industries in a healthcare insurance banking. Of course. The big ones with the retail telecommunications in manufacturing and really confused by the largest companies in the world across all these different Industries to build mission-critical conversational AI. I'm a very large developer community and I mean Dakota graph of the downloads on the ride and it just keeps going faster every year until we have the folks who are building conversation talk to them and learn from them and try and share kind of the the lessons that our
community has started. And so did you give me to contact? Why conversation from development is important that first one to talk about the five levels of conversational AI at which is our maturity model. Describing, you know how sophisticated
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