Blog: Learn Machine Learning from a Google AI Engineer
An Introduction to Bot Builder Platform Dialogflow CX
According to Gartner, this is the year that 50% of the enterprises will spend more money on bot development than traditional mobile app development! At Google, we have made a similar observation. Through Google Cloud, we work a lot with enterprise customers, we get lots of questions about our conversational AI tools for building chatbots and voice bots, and we help companies build these. This includes bots for the apparent channels such as websites, iOS, Android mobile apps, and social media like Facebook Messenger, Twitter, Slack, Whatsapp, Line etc. but also: building virtual agents in contact centers!
Dialogflow recently had a name change; it’s now called Dialogflow Essentials (Dialogflow ES) to make room for a new Google Cloud Conversational AI tool: Dialogflow Customer Experience (Dialogflow CX). Dialogflow CX will be an alternative development suite for building conversational UIs and will exist next Dialogflow ES. Google will continue to support Dialogflow ES, as we have a huge user base. To understand why Google created another bot builder, let’s first understand how Dialogflow ES works.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from AI software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With ten years of experience at Google (and AI) under their belt, they now hold the role of AI Software Engineer (SWE) 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 has written the Google/Kaggle Prompt Engineering whitepaper and two books: "Hands-on Sencha Touch 2" (O'Reilly) and their more recent work, "The Definitive Guide to Conversational AI with Dialogflow and Google Cloud" (Apress).
Getting Audio Data From Text (Text to Speech) and Play It in Your Browser. (Part IV)
Building Your Own Conversational Voice AI Which Streams Audio From a Browser Microphone to a Server (Part III)
Building Your Own Conversational Voice AI Which Streams Audio From a Browser Microphone to a Server (Part II)
