David Fogarty - Böcker

In the near term, the future will not belong to AI, but it will belong to the people who understand AI and how to strategically leverage its advantages.This book gives managers a new perspective on innovation and AI—allowing them to seize the future. As the pace of change has increased, organizations have needed to invest in innovation initiatives to survive and thrive. Up until now, these models have focused on co-location, which is no longer an option in some cases and may not be necessary for all, leaving organizations scrambling for options. Following up on their work in Managing at a Distance, Tom Coughlan and David Fogarty have developed this guide to help managers navigate the challenges of innovation in a world of hybrid and remote workers amidst the ever-increasing use of AI. They tackle questions such as the difference between creativity and innovation and how proximity (or lack of it) impacts teams, and present strategic, structural, and measurement solutions to maximize the role of AI in successful innovation while not minimizing the people who make up organizations.Platform-agnostic, this book will appeal to organizational leaders and managers who work with knowledge workers of any type, as well as students and instructors in graduate business courses, executive education, and corporate training programs.

In the near term, the future will not belong to AI, but it will belong to the people who understand AI and how to strategically leverage its advantages.This book gives managers a new perspective on innovation and AI—allowing them to seize the future. As the pace of change has increased, organizations have needed to invest in innovation initiatives to survive and thrive. Up until now, these models have focused on co-location, which is no longer an option in some cases and may not be necessary for all, leaving organizations scrambling for options. Following up on their work in Managing at a Distance, Tom Coughlan and David Fogarty have developed this guide to help managers navigate the challenges of innovation in a world of hybrid and remote workers amidst the ever-increasing use of AI. They tackle questions such as the difference between creativity and innovation and how proximity (or lack of it) impacts teams, and present strategic, structural, and measurement solutions to maximize the role of AI in successful innovation while not minimizing the people who make up organizations.Platform-agnostic, this book will appeal to organizational leaders and managers who work with knowledge workers of any type, as well as students and instructors in graduate business courses, executive education, and corporate training programs.

The present book provides an enterprise-wide guide for anyone interested in pursuing analytic methods in order to compete effectively. It supplements more general texts on statistics and data mining by providing an introduction from leading practitioners in business analytics and real case studies of firms using advanced analytics to gain a competitive advantage in the marketplace. In the era of “big data” and competing analytics, this book provides practitioners applying business analytics with an overview of the quantitative strategies and techniques used to embed analysis results and advanced algorithms into business processes and create automated insight-driven decisions within the firm. Numerous studies have shown that firms that invest in analytics are more likely to win in the marketplace. Moreover, the Internet of Everything (IoT) for manufacturing and social-local-mobile (SOLOMO) for services have made the use of advanced business analytics even more important for firms. Thesecase studies were all developed by real business analysts, who were assigned the task of solving a business problem using advanced analytics in a way that competitors were not. Readers learn how to develop business algorithms on a practical level, how to embed these within the company and how to take these all the way to implementation and validation.