The Mathematical Corporation: Where Machine Intelligence and Human Ingenuity Achieve the Impossible

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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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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.
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Additional Information

Publisher
PublicAffairs
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Published on
Jun 6, 2017
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Pages
304
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ISBN
9781610397896
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Language
English
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Genres
Business & Economics / Leadership
Business & Economics / Strategic Planning
Computers / Machine Theory
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Content Protection
This content is DRM protected.
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Available on Android devices
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Eligible for Family Library

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AI is radically transforming business. Are you ready?

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In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate.

Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business.

Human + Machine provides the missing and much-needed management playbook for success in our new age of AI.

BOOK PROCEEDS FOR THE AI GENERATION
The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.

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—Daniel Barbara, George Mason University, Fairfax, Virginia, USA

"The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts."
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—Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK

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—Guangzhi Qu, Oakland University, Rochester, Michigan, USA

You can no longer count on old motivational tricks to inspire loyalty among your associates. The rules of leading have changed, and now you must be able to take a diverse team and win with them quickly.

Barry Banther knows how to equip you for today’s business world because he knows what lasting leadership is made of. He has identified five qualities that aren’t things leaders have; rather, they are things they give away freely and frequently to everyone they lead in the workplace. By embracing and demonstrating the five qualities expounded in this book, you will become a leader who brings out the best in your associates, whether you’re a new manager or you occupy a C-suite office.
 
Banther consults with and trains the teams of CEOs of family-owned as well as Fortune 100 companies. He has been the lead consultant on more than 400 leadership development engagements and has written 50-plus leadership training programs that are used by companies worldwide. After a career in broadcasting and, later, teaching and administration at the college level, Banther served three Florida governors as their appointee to oversee private higher education and was elected to an unprecedented three terms as chairman of the Florida State Board of Independent Colleges and Universities.

Having learned the hard way—caring about numbers rather than people—Banther can tell you with confidence that when leaders put others first they themselves become more valuable to their team and their company than any authority or job title could ever mandate! That’s also the best way to grow your bottom line: deploy the right people with the right skills at the right time to create loyal and repeat customers!
A crucial component of leadership is the element of choice. Regardless of how much a person studies leadership, it is essential that he or she makes a conscious choice to accept the leadership role. This book defines leadership, gives examples of research in the field and explains how this knowledge can be used, describes leadership-development programs and surveys, and considers the literature of leadership. Chapters 1 through 4 define leadership and describe ways in which it might be exercised. Chapters 5 and 6 highlight research methods used to demonstrate the impact of improved leadership. The seventh and eighth chapters describe a leadership-development program at a well-known training center, with a focus on the tests and materials completed by participants before arrival and the actual program activities. Various programs in the education and training of leaders and managers are described in chapter 9. The ways in which experience develops and modifies leaders' behaviors are reviewed in the 10th chapter. Chapter 11 examines the uses of survey methods to assess the mood of group members and inform leaders of the effectiveness of their communication programs. Studies of the use of power and position and the outcomes of such use are reviewed in the 12th chapter. Chapter 13 summarizes literature on leadership and cultural differences, and chapter 14 highlights how reported studies can help leaders work better with followers and organizations to achieve objectives. A total of 127 propositions offered throughout the book are summarized in the final chapter. Chapter notes, 8 tables, 6 figures, and an index are included. The appendix contains a list of questions for self-review. (Contains 212 references.) (LMI)
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