Conversational AI Blog
(Beginner) Tutorials, Guides and FAQs on Chatbots, Voice Bots, Dialogflow Essentials and Dialogflow CX.
Welcome to my conversational AI engineering blog. As a SWE and advocate for Google, I build a lot of cool stuff, and I'm the bridge between Google's engineering team and you; chatbot developers, UI/UX designers, conversational experts, linguists, and contact center engineers.
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 is a software engineer and advocate for the Cloud office of the CTO at Google, a diverse team of highly experienced engineers and technologists, working on behalf of the Cloud CEO, whose mission is to foster market-disrupting collaborative innovation between Google and the world's most ambitious organizations. Expertise in AI & Voice, Lee is a public speaker and a published author for O'Reilly and Apress.
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.
Lee lives in Amsterdam, the Netherlands, and is a rainbow mommy.
Get Started With Dialogflow & Contact Cent...
Google ConversationalAI expert Lee Boonstra explains how to build Enterprise Chatbots and Tele...
