Bots Brasil 2021 - How to Set Up Your Conv...
It appears that most organizations employing conversational platforms, like chatbots and voicebots, rarely use analytics. This is a missed opportunity since a well-designed and smart use of analytics can be crucial to improving the customer experience.
In this session Lee Boonstra, Developer Advocate for Conversational AI @ Google, and author of the book: The Definitive Guide to Conversational AI with Dialogflow & Google Cloud will guide you through all the different kinds of data you can consider monitoring in your conversational analytics.
You will learn how to collect data from your voice and chatbots, and more importantly: how to translate all of your collected data into actual actions to improve conversational implementations.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With eight years of experience at Google under their belt, they now hold the role of SWE Tech Lead at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee wrote a book for O’Reilly: Hands-on Sencha Touch 2 and lately: the Definitive Guide to Conversational AI with Dialogflow and Google Cloud for Apress.
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