This is the first blog in the series:
A best practice for streaming audio from a browser microphone to Dialogflow & Google Cloud Speech To Text.
In this first blog, I will address why customers would integrate their own conversational AI compared to building for the Google Assistant. I will introduce all the conversational AI components in Google Cloud and where you would use each component for.
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. And the Google Prompt Engineering whitepaper.
Type: Keynote / Breakout Talk
Time: 25min - 50min
Type: Workshop
Time: 2 hours - 4 hours
Level
De Dataloog podcast interviewed me at the Google Cloud Summit 2019 in Amsterdam RAI.
Here’s...
A few weeks ago I recorded a (Dutch) video/webinar together with Continue Reading