Language:
English
Pages:
1 online resource (1 video file, approximately 59 min.)
Edition:
1st edition
Keywords:
Electronic videos ; local
Abstract:
You can propel your business forward with AI-centric approaches to solving customer needs, but to be successful, you need to deploy your machine learning models at scale. Yet engineers face unique challenges when using machine learning-based products in production environments, such as specialized resource management and measuring user happiness. In this Spotlight on Data , Todd Underwood, Google's director and lead for machine learning in site reliability engineering (SRE), explains how to sustainably run machine learning systems at scale. You'll learn why machine learning is essential to Google's core functions, providing key advantages across most of Google's products, including Search, Ads, Payments, Billing, Shopping, and more, and how SRE supports these production machine learning systems. Recorded on August 5, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O'Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts' unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you'll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You'll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
Note:
Online resource; Title from title screen (viewed December 5, 2019)
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