Real World AI: A Practical Guide for Responsible Machine Learning

Simpson Rochwerger, Alyssa; Pang, Wilson

ISBN 10: 1544518846 / ISBN 13: 9781544518848

Published by Lioncrest Publishing (edition ), 2021

About this Item

With dust jacket. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Seller Inventory # 1544518846-11-1-29

Bibliographic Details

• Title: Real World AI: A Practical Guide for Responsible Machine Learning
• Publisher: Lioncrest Publishing (edition )
• Publication Date: 2021
• Language: English
• ISBN 10: 1544518846
• ISBN 13: 9781544518848
• Binding: Hardcover
• Condition: Good
• Dust Jacket Condition: Dust Jacket Included

About this title

Synopsis

How can you successfully deploy AI?

When AI works, it's nothing short of brilliant, helping companies make or save tremendous amounts of money while delighting customers on an unprecedented scale. When it fails, the results can be devastating.

Most AI models never make it out of testing, but those failures aren't random. This practical guide to deploying AI lays out a human-first, responsible approach that has seen more than three times the success rate when compared to the industry average.

In Real World AI, Alyssa Simpson Rochwerger and Wilson Pang share dozens of AI stories from startups and global enterprises alike featuring personal experiences from people who have worked on global AI deployments that impact billions of people every day.

AI for business doesn't have to be overwhelming. Real World AI uses plain language to walk you through an AI approach that you can feel confident about--for your business and for your customers.

About the Author

Alyssa Simpson Rochwerger serves as director of product at Blue Shield of California, pursuing her dream of using technology to improve healthcare. She has over a decade of experience in building technical data-driven products and has held numerous leadership roles for machine learning organizations, including VP of AI and data at Appen and director of product at IBM Watson.

Wilson Pang is the CTO of Appen with over nineteen years of experience in software engineering and data science. Prior to joining Appen, Wilson was chief data officer of Ctrip, the second-largest online travel agency in the world; senior director of engineering at eBay; and a tech solution architect at IBM.