Description
Discover the future of business with 'The Mathematical Corporation,' a groundbreaking book that explores the powerful alliance between cutting-edge machine intelligence and creative human leadership. This insightful text, published by Little Brown in 2017, presents a transformative vision for organizations navigating a rapidly advancing technological landscape. Readers will learn why embracing the fusion of human ingenuity and smart machines is key to staying competitive in today's fast-paced market. With compelling case studies, authors Josh Sullivan and Angela Zutavern reveal how pioneers in various fields have successfully harnessed data analytics and algorithm-driven strategies to drive innovation and achieve unprecedented success.
As companies encounter a pivotal moment in history akin to the quality revolution of the 1980s and the dawn of the internet age, maintaining a competitive edge requires a shift in organizational leadership and strategy. 'The Mathematical Corporation' serves as a vital guide for leaders eager to leverage new technologies, ask the right questions, and uncover untapped business opportunities hidden within oceans of data.
Whether you're a business executive, entrepreneur, or an aspiring leader, this book offers invaluable insights and practical advice that can help your organization thrive in the era of intelligent collaboration between humans and machines. Don't miss your chance to explore this essential read that promises to elevate your understanding of the mathematical corporation—your roadmap to the future.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW. ISBN: 9781610397889.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781610397889
Year: 2017
Publisher: Little Brown
Description:
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.
As companies encounter a pivotal moment in history akin to the quality revolution of the 1980s and the dawn of the internet age, maintaining a competitive edge requires a shift in organizational leadership and strategy. 'The Mathematical Corporation' serves as a vital guide for leaders eager to leverage new technologies, ask the right questions, and uncover untapped business opportunities hidden within oceans of data.
Whether you're a business executive, entrepreneur, or an aspiring leader, this book offers invaluable insights and practical advice that can help your organization thrive in the era of intelligent collaboration between humans and machines. Don't miss your chance to explore this essential read that promises to elevate your understanding of the mathematical corporation—your roadmap to the future.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW. ISBN: 9781610397889.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781610397889
Year: 2017
Publisher: Little Brown
Description:
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.