Optimizing Data-to-Learning-to-Action: The Modern Approach to Continuous Performance Improvement for Businesses
Author:   Steven Flinn
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484235300


Pages:   191
Publication Date:   07 April 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Optimizing Data-to-Learning-to-Action: The Modern Approach to Continuous Performance Improvement for Businesses


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Author:   Steven Flinn
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.454kg
ISBN:  

9781484235300


ISBN 10:   1484235304
Pages:   191
Publication Date:   07 April 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Case for Action.- Chapter 2: Roots of a New Approach.- Chapter 3: Data-to-Learning-to-Action.- Chapter 4: Tech Stuff and Where It Fits.- Chapter 5: Reversing the Flow: Decision-to-Data.- Chapter 6: Quantifying the Value.- Chapter 7: Total Value.- Chapter 8: Optimizing Learning Throughput.- Chapter 9: Patterns of Learning Constraints and Solutions.- Chapter 10: Organizing for Data-to-Learning-to-Action Success.- Chapter 11: Conclusion.- 

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Author Information

Steven Flinn is founder and CEO of ManyWorlds, Inc., which is a pioneer of machine learning-based solutions for enterprises, the market leading provider of visual UX software for collaborative systems, and a member of the highly selective Partnership for American Innovation. Mr. Flinn has extensive consulting experience at the intersection of strategy, decision science, and technology with Global 1000 enterprises, as well as selected high-impact startups. He has been awarded over 40 patents in the field of machine learning and its applications, and is the author of The Learning Layer (Palgrave Macmillan 2010), which predicted, and established the imperative for, applying machine learning-based capabilities in the enterprise, an imperative that is now widely accepted and a reality. Prior to ManyWorlds, he was a Chief Information Officer and Vice President of Strategy at Royal Dutch Shell. His education includes graduate degrees from Northwestern University’s Kellogg School of Business and Stanford University’s School of Engineering.

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