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How we Built Google Tulip by using Serverless Technology and Machine Learning

Christiaan Hees • Matt Feigal • Lee Boonstra | GOTO Amsterdam 2019

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Transcript

How to compose an application of multiple serverless components. Training an ML model for your needs with minimal training data and applying it in your application.

What will the audience learn from this talk?
How to compose an application of multiple serverless components. Training an ML model for your needs with minimal training data, and applying it in your application. Building and running your code in serverless Knative Using Dialogflow to power user conversations.

Does it feature code examples and/or live coding?
It features live demos of our components and end product. We’ll show code and run scripts to train ML models and deploy our code.

Prerequisite attendee experience level:
Level 100

About the speakers

Christiaan Hees
Christiaan Hees

Customer Engineer at Google Cloud

Matt Feigal
Matt Feigal

Cloud Customer Engineering Manager for Benelux

Lee Boonstra
Lee Boonstra

Customer Engineer at Google