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Author: Aleksandra Przegalinska Publisher: Cambridge University Press ISBN: 1009243543 Category : Business & Economics Languages : en Pages : 134
Book Description
This Element proposes a clear and up-to-date description of the state of artificial intelligence today, not only in terms of business processes and strategies, but also its societal reception. It presents our view of the technology landscape, avoiding both the forward-looking, rose-colored utopia and the hyper-apocalyptic gloom. It does so in a concise form, addressing a complex issue in 9 concise and easy-to-read chapters. It aims to discuss the current state of machine learning and AI in strategic management, and to describe the emerging technologies. It conceptualizes their adoption, and then consider the effects of AI technologies' maturity in business organizations.
Author: Aleksandra Przegalinska Publisher: Cambridge University Press ISBN: 1009243543 Category : Business & Economics Languages : en Pages : 134
Book Description
This Element proposes a clear and up-to-date description of the state of artificial intelligence today, not only in terms of business processes and strategies, but also its societal reception. It presents our view of the technology landscape, avoiding both the forward-looking, rose-colored utopia and the hyper-apocalyptic gloom. It does so in a concise form, addressing a complex issue in 9 concise and easy-to-read chapters. It aims to discuss the current state of machine learning and AI in strategic management, and to describe the emerging technologies. It conceptualizes their adoption, and then consider the effects of AI technologies' maturity in business organizations.
Author: Marco Iansiti Publisher: Harvard Business Press ISBN: 1633697630 Category : Business & Economics Languages : en Pages : 175
Book Description
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
Author: Andrew McAfee Publisher: W. W. Norton & Company ISBN: 0393254305 Category : Business & Economics Languages : en Pages : 297
Book Description
“A clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification.” —Financial Times In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.
Author: Martin Reeves Publisher: Harvard Business Review Press ISBN: 1625275870 Category : Business & Economics Languages : en Pages : 281
Book Description
You think you have a winning strategy. But do you? Executives are bombarded with bestselling ideas and best practices for achieving competitive advantage, but many of these ideas and practices contradict each other. Should you aim to be big or fast? Should you create a blue ocean, be adaptive, play to win—or forget about a sustainable competitive advantage altogether? In a business environment that is changing faster and becoming more uncertain and complex almost by the day, it’s never been more important—or more difficult—to choose the right approach to strategy. In this book, The Boston Consulting Group’s Martin Reeves, Knut Haanæs, and Janmejaya Sinha offer a proven method to determine the strategy approach that is best for your company. They start by helping you assess your business environment—how unpredictable it is, how much power you have to change it, and how harsh it is—a critical component of getting strategy right. They show how existing strategy approaches sort into five categories—Be Big, Be Fast, Be First, Be the Orchestrator, or simply Be Viable—depending on the extent of predictability, malleability, and harshness. In-depth explanations of each of these approaches will provide critical insight to help you match your approach to strategy to your environment, determine when and how to execute each one, and avoid a potentially fatal mismatch. Addressing your most pressing strategic challenges, you’ll be able to answer questions such as: • What replaces planning when the annual cycle is obsolete? • When can we—and when should we—shape the game to our advantage? • How do we simultaneously implement different strategic approaches for different business units? • How do we manage the inherent contradictions in formulating and executing different strategies across multiple businesses and geographies? Until now, no book brings it all together and offers a practical tool for understanding which strategic approach to apply. Get started today.
Author: Raul V. Rodriguez Publisher: CRC Press ISBN: 1040131328 Category : Business & Economics Languages : en Pages : 309
Book Description
This book demonstrates how generative artificial intelligence (AI), a form of sophisticated AI technology, is transforming our knowledge of how the human mind functions in relation to business leadership and decision-making. It describes the most recent findings and applications of generative AI in psychology. The book explains the relationships between language, thinking, and behavior as well as how AI may aid in our understanding of learning, decision-making, and problem-solving. In addition, it discusses the significance of applying AI properly and ethically. This book provides a comprehensive overview of how AI is increasing our understanding of the mind and how it impacts each of us professionally.
Author: Aleksandra Przegalinska Publisher: CRC Press ISBN: 1040031080 Category : Technology & Engineering Languages : en Pages : 169
Book Description
This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists, and engineers in the fields of generative AI and deep learning. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license.
Author: Rafiq, Muhammad Publisher: IGI Global ISBN: Category : Business & Economics Languages : en Pages : 328
Book Description
In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural differences, language barriers, and skill shortages present unique complexities. Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI.
Author: Loizos Heracleous Publisher: Cambridge University Press ISBN: 0521116554 Category : Business & Economics Languages : en Pages : 263
Book Description
This book presents a theoretically informed approach to creative strategizing based on building metaphorical structures that represent organizations.
Author: Aleksandra Przegalinska
Author: Aleksandra Przegalinska
Author: Marco Iansiti
Author: Andrew McAfee
Author: Martin Reeves
Author: Nadia Mansour
Author: Raul V. Rodriguez
Author: Aleksandra Przegalinska
Author: Philip Kotler
Author: Rafiq, Muhammad
Author: Loizos Heracleous