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The Mathematical Corporation: Where Machine Intelligence and Human Ingenuity Achieve the Impossible Hardcover – June 6, 2017

by Josh Sullivan (Author), Angela Zutavern (Author)
4.1 4.1 out of 5 stars 62 ratings
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The most powerful weapon in business today is the alliance between the mathematical smarts of machines and the imaginative human intellect of great leaders. Together they make the mathematical corporation, the business model of the future.

We are at a once-in-a-decade breaking point similar to the quality revolution of the 1980s and the dawn of the internet age in the 1990s: leaders must transform how they run their organizations, or competitors will bring them crashing to earth -- often overnight.

Mathematical corporations -- the organizations that will master the future -- will outcompete high-flying rivals by merging the best of human ingenuity with machine intelligence. While smart machines are weapon number one for organizations, leaders are still the drivers of breakthroughs. Only they can ask crucial questions to capitalize on business opportunities newly discovered in oceans of data.

This dynamic combination will make possible the fulfillment of missions that once seemed out of reach, even impossible to attain. Josh Sullivan and Angela Zutavern's extraordinary examples include the entrepreneur who upended preventive health care, the oceanographer who transformed fisheries management, and the pharmaceutical company that used algorithm-driven optimization to boost vaccine yields.

Together they offer a profoundly optimistic vision for a dazzling new phase in business, and a playbook for how smart companies can manage the essential combination of human and machine.
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  1. Print length
    304 pages
  2. Language
    English
  3. Publisher
    PublicAffairs
  4. Publication date
    June 6, 2017
  5. Dimensions
    6 x 1 x 9.25 inches
  6. ISBN-10
    1610397886
  7. ISBN-13
    978-1610397889
  8. See all details
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Editorial Reviews

Review

"Shrewd corporate executives are realigning their organizations to harness the burgeoning power of cyberintelligence. ... Nonetheless, both corporate executives and government leaders still need inquisitive and creative humans ... A lucid overview of the management principles rapidly moving that world forward."―Booklist (starred review)

"Much has been written recently about the ability to reach better decisions by application of big data. However, Josh Sullivan and Angela Zutavern take us a step beyond by introducing The Mathematical Corporation. Leaders of mathematical corporations combine data analytics with the mathematical intelligence of machines and their own creativity to enhance the quality of current and future decisions. A must read for leaders striving to stay contemporary in a rapidly evolving world."―Larry Bossidy, retired chairman and CEO of Honeywell, co-author of Execution: The Discipline of Getting Things Done and Confronting Reality

"In this interesting and accessible book, Sullivan and Zutavern challenge us to reconsider assumptions about machines 'taking over,' relegating the human factor to a bygone era. Their hopeful alternative scenario for the future instead clearly shows the importance of leaders and employees who work creatively in symbiosis with machines to achieve greater productivity, better innovation and higher profits."―Amy Webb, founder and CEO of the Future Today Institute and author of The Signals are Talking

"Josh Sullivan and Angela Zutavern offer a riveting account of the explosive new combination of machine intelligence and executive imagination. Company managers are solving stubborn problems as never before in areas as diverse as health, mobility and security, and The Mathematical Corporation is a compelling call for the digital mastery of market complexity-now."―Michael Useem, professor of management, Wharton School of the University of Pennsylvania and co-author of Fortune Makers: The Leaders Creating China's Great Global Companies

About the Author

Dr. Josh Sullivan is senior vice president at Booz Allen Hamilton and one of the world's leading experts in data science and machine intelligence.

Angela Zutavern is vice president of Booz Allen Hamilton and pioneered the application of machine intelligence to leadership and strategy.

Together, they're radically transforming how Fortune 500 companies, nonprofits, and major government agencies perform by helping leaders shatter long-held constraints and reveal hidden truths about their organizations.

Product details

  • Publisher ‏ : ‎ PublicAffairs; 1st edition (June 6, 2017)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 304 pages
  • ISBN-10 ‏ : ‎ 1610397886
  • ISBN-13 ‏ : ‎ 978-1610397889
  • Item Weight ‏ : ‎ 2.31 pounds
  • Dimensions ‏ : ‎ 6 x 1 x 9.25 inches
  • Customer Reviews:
    4.1 4.1 out of 5 stars 62 ratings

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  1. Angela Zutavern

    Angela Zutavern

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    Angela Zutavern is a Managing Director at AlixPartners. Throughout her career, she pioneered the application of machine intelligence to organizational leadership and strategy. Angela led advanced data science R&D efforts, including in the areas of deep learning and quantum machine learning. She is passionate about data science for social good and helped create the Data Science Bowl, a first-of-its-kind, world-class competition that solves global issues through machine intelligence.

     

    She has advised many Fortune 500 companies across every major industry. In addition, she has worked with clients in every U.S. government cabinet-level department as well as many sub-level agencies. A frequent industry, academic, and media speaker on the power of machine intelligence, Angela is actively involved in strengthening diversity and inclusion in technology, and is an enthusiastic champion of women in data science.

    See more on the author's page
  2. Josh Sullivan

    Josh Sullivan

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    Full content visible, double tap to read brief content.

    Joshua Sullivan is an American computer scientist, business leader, and author who specializes in artificial intelligence and machine learning. Sullivan authored The Mathematical Corporation and is a contributing author of The Field Guide to Data Science. Josh is passionate about changing the world by improving how technology and analytics can be applied to improve our lives.

    See more on the author's page
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Top reviews from the United States

  • Questions Girl
    5.0 out of 5 stars Questions, here we come!
    Reviewed in the United States on June 30, 2017
    Verified Purchase
    This is not another book about "big data" but rather a book about the qualities leaders need to forge ahead in our increasingly data driven world. Leaders of the past have focused on success and while success is the goal, future leaders must see failures as part of the grand process to achieve even greater successes. Fear of failure, be gone! The Mathematical Corporation provides myriad examples of how data of all kinds gives us insight to our deep questions.

    In reading this, I was reminded of "The Machine" from Person of Interest, but the real Machine hasn't been built by one Mr. Finch. It's continually being built by all of us every day. The benefits are exciting to imagine. The leaders who will excel are those who ask great questions, impossible questions, mysterious questions. That resonates with me! Questions, here we come!
    8 people found this helpful
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  • Sami Makelainen
    3.0 out of 5 stars Why executives shouldn't write about technology
    Reviewed in the United States on May 6, 2018
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    Coming up with a rating for this work was hard.

    The first ~third of the book was so bad I'd like to give it one star.

    Why?

    It's quite clear the authors do not have hands-on experience with machine learning or AI, which the book focuses on. While attempts are made to discuss some details, everything is eventually clumped together into the very fluffy concept of "the machine".

    Worse, there are some downright dangerous mischaracterizations and blatant factual errors. To point out a few:
    - calling machine learning models inherently "more impartial", claiming that bias in the models only exists "if the data scientists writing the algorithms inject it"
    - that with the help of AI/ML, leaders will be able to "unravel the mysteries of all the most inscrutable, inaccessible, unmanageable, or unthinkably complex systems in work and nature"
    - on page 27 there is a hockey stick graph on computing power that is entirely void of context, dates, data, definitions, depth or anything that would make it useful - and yet the authors claim computing speed increases are "not because of so-called Moore's Law"
    - treating machine learning, deep learning and reinforcement learning as discrete, separate things
    - while waxing lyrical about the advancements of "the machine", categorically stating there are areas that people will "always" excel in
    - highlighting the supposed efficacy of the now-proven-false emotion classification model from the 70's
    - claiming increased data storage capability is a "feat possible thanks to the legions of cloud computers linked with new, cheap software"

    .. and so on. Really an unnerving amount of cringe-worthy errors, mistakes, misunderstandings or something.

    The book redeems itself, to a modest extent, in the latter part where it turns to leadership lessons. None of them are particularly new, but the Lean Startup-methods (which aren't called that in the text btw) are a valid approach, as are some of the attitude adjustments required of leaders. The book does also discuss the potential ethical dilemmas at some length and recommends - at a very high level - sensible privacy approaches.

    So, in summary - what to expect:
    - a leadership pep talk with some valid very high-level points
    - anecdotes from primarily half a dozen companies
    - dangerous mischaracterization of AI and machine learning
    - "inspirational", highly vague statements of both existing and dawning capabilities of "the machine"
    - sensible views on privacy

    What NOT to expect:
    - any actual frameworks or prescriptions on how best to work with "the machine"
    - technical accuracy, or even accurate higher-level technical descriptions
    - hard data and proof on pretty much anything
    26 people found this helpful
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  • Bryan Seefeld
    4.0 out of 5 stars Very Informative Book
    Reviewed in the United States on July 18, 2017
    Having worked in this field for many years, I thought this would be an interesting read. The author does a great job of explaining the process, hurdles, and other facets of a data driven corporation. He does a good job at breaking down the methods of leaders in the field, and how questions are asked by these leaders which I appreciated. My issues with the book though are that the examples used in the book were a bit redundant, and the narroation left something to be desired. Other than that solid book.
    One person found this helpful
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  • Iworx
    5.0 out of 5 stars easy to understand even for someone who hasn't yet been ...
    Reviewed in the United States on February 10, 2018
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    As a small business owner, hearing all the hype out there about robots taking over the world made me think there was no way I would be able to compete. This book changed my way of thinking by showing how small business can be helped, not hindered by the emerging changes and I can do more with less. It presents tons of examples, easy to understand even for someone who hasn't yet been working with these new technologies.
    One person found this helpful
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  • Stu
    5.0 out of 5 stars The Business Model of the Future
    Reviewed in the United States on September 6, 2017
    Verified Purchase
    At the crossroads of artificial intelligence and the modern organization lies what was once science fiction but now a reality; authored by Josh Sullivan and Angela Zutavern The Mathematical Corporation afford the reader a guide on whats possible with data science. The book includes a scope of examples from government agencies, corporations, to charitable organizations. This is the future business model - I recommend you read this book.
    3 people found this helpful
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  • Kids4biz
    3.0 out of 5 stars Interesting but lacking depth.
    Reviewed in the United States on March 27, 2018
    Verified Purchase
    Too high level. Needs to go deeper into science Too many mentions of one sided climate change opinion. Lessens credibility
    One person found this helpful
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  • Ken Zutavern
    5.0 out of 5 stars As Angela's father I could not be much more prouder ...
    Reviewed in the United States on June 9, 2017
    Verified Purchase
    As Angela's father I could not be much more prouder of her than I am now. Growing up in an environment with many challenges, she found the means, both intellectual and analytical, to solve them. In applying her experiences and new tools, to our new economic engines, she illuminates the possibilities of what can be.
    6 people found this helpful
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  • Michael Miller
    5.0 out of 5 stars Excellent coverage of expanding universe of data and its best uses by business, non-profits, government
    Reviewed in the United States on August 31, 2017
    Verified Purchase
    Excellent overview of newer approaches corporations, non-profits, and government agencies are taking to using every increasing data sources for the best outcomes in strategic growth and service. Very nice that last 2 chapters covered ethical issues.
    2 people found this helpful
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Top reviews from other countries

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  • Gabriel
    5.0 out of 5 stars Great!
    Reviewed in Canada on February 23, 2019
    Verified Purchase
    Great!
    Report
  • Amazon Customer
    4.0 out of 5 stars 会社・仕事というものの将来です
    Reviewed in Japan on August 8, 2017
    Verified Purchase
    人工知能と機械学習についていくつかマイナーな間違えがありますが，このような話は昔から支えるので読んでよかったです．専門家として，ビジネス側で話すると説明早く難しくなるので，このような本があると助かります．日本語版はまだないですが．

    これからの「会社」というものの将来は説明されて，やはり人間+機会の組み合わせを理解しないといけないです．どうやって機会がうまいことと人間がうまいことを両方使えるのか，という話で，面白かった本です．
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  • rrd
    3.0 out of 5 stars Content is generally good, as are the illustrative examples
    Reviewed in Canada on August 28, 2017
    Verified Purchase
    Content is generally good, as are the illustrative examples, but the amount of consulting speak (transformational, once-in-a-decade, scale never before seen, etc) that is crammed in for effect detracts from the book's value as an educational tool. It comes off more as a sales pitch for the future of technology than a serious book. The book should be condensed into the useful material, leaving out the marketing starch
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  • George Chiesa
    5.0 out of 5 stars One of, if not THE, most transformational book that top “management” should read
    Reviewed in the United Kingdom on July 13, 2017
    Verified Purchase
    One of, if not THE, most transformational book that top “management” should read, ASAP.

    Because it explains in PLAIN ENGLISH the simplicity of using highly complex systems, to achieve understandings of underlying cause-effects, in fact looking not just for answers to known problems, but also to answers to unknown problems.

    Pause and re-read that last phrase, because it’s KEY: real answers to known questions, PLUS it surfaces the unknown questions and their answers, beating experts.

    It achieves this not from an egoistical pure-economics point of view but with a real substantial incline to solve world level society problems, thus making the unleashing of previously highly guarded “corporate data”, the only long term ethical choice for CxO that are first, human being working within corporations.
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  • CJM
    5.0 out of 5 stars Great book!
    Reviewed in the United Kingdom on December 5, 2019
    Verified Purchase
    Great book, must have given the focus of companies and government to leverage AI
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