Overview
- Offers advice on how businesses can prepare for an automated future and implement automation as a business strategy
- Highlights the importance of and ease of algorithm design
- Provides guidelines in the management of testing automation
- Offers case studies of companies that have gained a competitive advantage through automation
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Table of contents (16 chapters)
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Front Matter
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Our Automated Future
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Front Matter
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Institutionalizing Automation
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Front Matter
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Keywords
About this book
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.Thoughmany 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.
Authors and Affiliations
About the author
George E. Danner is President of Business Laboratory, LLC, an award-winning consultancy that uses the very latest scientific techniques and methods to improve the performance of mid-size and large organizations through problem-solving, the optimization of existing practices and advanced forecasting. He is the author of the book Profit From Science, which outlines best practices in business problem solving using real world case studies.
George specializes in the application of agent-based simulation modeling, Monte Carlo simulation, System Dynamics, Game Theory, Visualization, and Real Options to some of the world’s most difficult and complex business strategy problems.
George has 29 years of experience in corporate strategy, specifically operational and financial analysis, across a wide variety of industries: retail, manufacturing, energy, telecommunications, transportation and financial services.Prior to founding Business Laboratory, George held executive positions at nGenera Corporation, Industrial Science LLC (as founder) and Arthur Andersen. Business Laboratory clients include Simon Property Group, BP, Sun Microsystems, Schlumberger, Manpower, Target Stores, AstraZeneca, TIAA-CREF, NationalGrid (UK), TD Ameritrade, Motiva, and the US Navy.
George has a Bachelor of Science in Mechanical Engineering from Texas A&M University and a Master of Science in Management from Massachusetts Institute of Technology.
Bibliographic Information
Book Title: The Executive's How-To Guide to Automation
Book Subtitle: Mastering AI and Algorithm-Driven Business
Authors: George E. Danner
DOI: https://doi.org/10.1007/978-3-319-99789-6
Publisher: Palgrave Macmillan Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2019
Hardcover ISBN: 978-3-319-99788-9Published: 31 January 2019
eBook ISBN: 978-3-319-99789-6Published: 17 December 2018
Edition Number: 1
Number of Pages: XIII, 165
Number of Illustrations: 5 b/w illustrations, 6 illustrations in colour
Topics: Popular Science in Business and Management, Big Data/Analytics, Innovation/Technology Management