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The executive's how-to guide to auto...

Danner, George E.

The executive's how-to guide to automationmastering AI and algorithm-driven business /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The executive's how-to guide to automationby George E. Danner.
Reminder of title:	mastering AI and algorithm-driven business /
Author:	Danner, George E.
Published:	Cham :Springer International Publishing :2019.
Description:	xiii, 165 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learningEconomic aspects.
Online resource:	https://doi.org/10.1007/978-3-319-99789-6
ISBN:	9783319997896$q(electronic bk.)

The executive's how-to guide to automationmastering AI and algorithm-driven business /
Danner, George E.

The executive's how-to guide to automationmastering AI and algorithm-driven business /[electronic resource] :by George E. Danner. - Cham :Springer International Publishing :2019. - xiii, 165 p. :ill., digital ;24 cm.

1. Automation is Here -- 2. The Economic Case for Automation -- 3. The Molecules of Automation: Algorithms -- 4. What is Automat-able and What is Not? -- 5. Diagrammatic Decomposition of Corporate Functions -- 6. The Technology Suite of Automation -- 7. Building an Automaton From A Diagram Blueprint -- 8. Testing and Validation: Dear Rubber, Meet Road -- 9. Automation as a Business Strategy -- 10. Automating an Entire Corporation: Baby steps on a long road -- 11. Where do we put the humans? -- 12. Automation Sandboxes -- 13. The Corporation as an Algorithm Factory -- 14. Monetizing a Tapestry of Algorithms -- 15. What Could Possibly Go Wrong? -- 16. Your Turn.

From driverless cars to pilotless planes, many functions that have previously required human labor can now be performed using artificial intelligence. For businesses, this use of AI results in reduced labor costs and, even more important, creating a competitive advantage. How does one look at any organization and begin the work of automating it in sensible ways? This book provides the blueprint for automating critical business functions of all kinds. It outlines the skills and technologies that must be brought to bear on replicating human-like thinking and judgment in the form of algorithms. Many believe that algorithm design is the exclusive purview of computer scientists and experienced programmers. This book aims to dispel that notion. An algorithm is merely a set of rules, and anyone with the ability to envision how different components of a business can interact with other components already has the ability to work in algorithms. Though many fear that the use of automation in business means human labor will no longer be needed, the author argues that organizations will re-purpose humans into different roles under the banner of automation, not simply get rid of them. He also identifies parts of business that are best targeted for automation. This book will arm business people with the tools needed to automate companies, making them perform better, move faster, operate cheaper, and provide great lasting value to investors.

ISBN: 9783319997896$q(electronic bk.)

Standard No.: 10.1007/978-3-319-99789-6doiSubjects--Topical Terms:

837132
Machine learning
--Economic aspects.

LC Class. No.: Q325.5 / .D36 2019

Dewey Class. No.: 006.31

The executive's how-to guide to automationmastering AI and algorithm-driven business /
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