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Abstracts

As a public speaker, I try to make every conference talk unique. My expertise are Chatbots, Conversational AI, Contact Centers, Machine Learning and Machine Learning Fairness. Being an engineer as well, I love to impress my audience with live demos. I can speak for every audience, decision makers, beginners, developers, advanced Conversational AI practitioners…

Technical audience? I am not shy about sharing code or doing live coding.

Here’s my biography & speaker image.

Topic 1: Improve your customer care by building an AI bot platform

Type: Keynote / Breakout Talk
Time: 25min - 50min
Tags: chatbots, voicebots, callbots, AI platform, contact centers, big data, analytics
Level: Beginners
Audience: Decision makers, Conversational AI practitioners, Developers

Did you know, you can trim your business cost massively, by implementing bots? According to Juniper Research, enterprises can trim their business cost by more than 8 billion! Does this sound like magic to you? The key is, to build an AI platform which can support bots for various channels, which includes voice assistance and contact centers!

During this session, Developer Advocate, for Conversational AI; Lee Boonstra, will show you how you can integrate AI and bot technology. A session with live demos for websites, social media, Google Assistant; and Contact Centers. Learn how voice will impact the near future!


Topic 2: A best practice for streaming WebRTC audio from a browser microphone to Speech APIs

Type: Breakout Talk
Time: 25min - 50min
Tags: chatbots, speech to text, text to speech, webrtc, Dialogflow
Level: Advanced
Audience: Conversational AI practitioners, Developers

The Google Assistant is super popular. Businesses want their own voice AI. Unless you are a manufacturer for tv setup boxes or headphones, you probably don’t need to use the Google Assistant, you can integrate a (voice supported) conversational AI within your own existing web/mobile app with the use of Dialogflow and Cloud Speech to Text (STT), Cloud Text to Speech (TTS).

However, implementing audio streaming within (web) applications can become difficult. It’s not that the Google APIs are hard to use; those APIs are pretty straightforward. The problem is the combination of all required technology; A front app, WebRTC, microphone streams, audio encoding, sample rates, websockets, a back-end app, Google streaming APIs…

Lee Boonstra, developer advocate for Conversational AI, (and author of the ultimate audio streaming to Speech APIs - guide), will guide you how to implement your own conversational AI within your web application.

Message for the committee: Expect a session, with a real world demo (Airport Self Service Kiosk), code to stream microphone audio output (WebRTC) to a back-end web application over websockets, and let your conversational AI speak out the answers. A solution built with: Dialogflow for chatbots, Speech to Text, Text to Speech, Websockets, Angular, Node.js, Audio Streaming, WebRTC


Topic 3: Raise your voice!

Type: Breakout Talk
Time: 25min - 50min
Tags: chatbots, speech to text, text to speech, webrtc, Dialogflow, Contact Centers, Voicebots
Level: Advanced
Audience: Conversational AI practitioners, Developers

When people think of chatbots, they often think of that little support popup on a website, not understanding what you actually mean. It shouldn’t be like that. With AI powered chatbots, it doesn’t matter how you say or spell your questions, it will understand you. There are actually many types of chatbots; bots in social media, bots in advertising and bots specialized in understanding voice. The chatbots which live in smart speakers & assistant AI’s and the chatbots running in phone reservation systems and contact centers!

Lee Boonstra, Developer Advocate at Google on Conversational AI, will show how developers can integrate their conversations for the Google Assistant & phone systems by using machine learning APIs. Learn how voice will impact the near future and expect live demos!


Topic 4: Work smarter with Chatbots & Hangouts Chatrooms

Type: Breakout Talk
Time: 25min - 45min
Tags: Chatbots, Google Hangouts Chat, Dialogflow, AI chatbots, Work smarter
Level: Beginner
Audience: Decision makers, Developers, Industry Analysts

Chatbots and Assistants, distractions or the next way to boost your employees’ productivity? Do you wish you could make automating workflows as seamless as having a conversation? Complete tasks and work with data smarter by bringing AI into the office. Build rich, conversational experiences by leveraging Hangouts Chatbots.

You can bring AI/ML to all your employees to enable their productivity with the platforms they’re already using whether it is via text or audio for employees on the field and on the go.

In this session we’ll briefly introduce the technologies involved and then dive into some demos that show how to put it all together. By leveraging Google Cloud Platform and G Suite you can glue together your internal systems and 3rd party services. We’ll show you examples like an HR system for searching information in employee files, fulfillment requests, and more!


Topic 5: Machine Learning Fairness

Type: Keynote / Breakout Talk
Time: 25min - 45min
Tags: Diversity, DEI, Machine Learning Fairness, Bias in ML
Level: Beginner
Audience: All

As an AI-first company, Google aims to develop the benefits of machine learning for everyone.

Building inclusive machine learning algorithms is crucial to help make the world’s information universally useful and accessible.

ML fairness is a critical consideration in machine learning development. This session will present a few lessons Google has learned through our products and research and how developers can apply these learnings in their own efforts.

This session will enable developers to proactively think about fairness in product development.


Workshop: Hands-on: Create a TV guide action for the Google Assistant with Dialogflow and Actions on Google.

Type: Workshop
Time: 2 hours - 4 hours
Tags: Voice Assistance, Google Assistant, Dialogflow, Chatbots
Level: Beginner
Audience: Engineers, Conversational AI practitioners

Let’s create a conversation between you and Google that helps you to retrieve information about what’s on TV.

At Google we provide assistance to our products for years. With the Google Assistant we are helping users through the day. This can be at home via a voice activated speaker like Google Nest or on the way through phones, tablets, watches or cars via the Google Assistant.

You don’t need to be a developer. With Dialogflow, it is possible to create natural conversations for chatbots and voice activated speakers. In this session, you will learn about machine learning and how to create custom conversation agents with Dialogflow.

Basic JavaScript knowledge is required.

Bring your laptop, a headset, or a proper microphone and headphones, in case you want to test the Google Assistant at the conference.