Building a Virtual Assistant Factory
As Conversational AI applications gain traction in an organization, it is of paramount importance to put in place the right tools and processes to develop, deploy, and evolve virtual assistants in an efficient way. In this talk, we will share our experience building a virtual assistant factory to deploy chatbots at scale at NBC, without compromising on performance and customer experience.
Deployment process needs to be aligned with DevOps best practices
Maintenance of conversational AI apps require care and education
Efficiency comes from tight collaboration with multiple teams
Dominique Boucher is currently Chief Solutions Architect / Conversational AI at National Bank of Canada where he is responsible for the development of NBC's dialogue system platform from the technical side. His main interests revolve around the application of AI/machine learning techniques to complex business problems, and in the use of conversational interfaces to help optimize business processes in particular. Prior to that, he was the CTO of Nu Echo where he led the Omnichannel Innovations Lab, from both the business and R&D perspectives. He has been in the speech recognition and conversational AI industry for more than 20 years. He holds a PhD from the University of Montreal.