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"Future Shock for the Web-apps era.... Compulsively readable—for nontechies, too."—Fast Company Building on the success of his industry-shaking Does IT Matter? Nicholas Carr returns with The Big Switch, a sweeping look at how a new computer revolution is reshaping business, society, and culture. Just as companies stopped generating their own power and plugged into the newly built electric grid some hundred years ago, today it's computing that's turning into a utility. The effects of this transition will ultimately change society as profoundly as cheap electricity did. The Big Switch provides a panoramic view of the new world being conjured from the circuits of the "World Wide Computer." New for the paperback edition, the book now includes an A–Z guide to the companies leading this transformation.
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Artificial intelligence (AI) may be the most beneficial technological development of the twenty-first century.Media hype and raised expectations for results, however, have clouded understanding of the true nature of AI—including its limitations and potential. AI at War provides a balanced and practical understanding of applying AI to national security and warfighting professionals as well as a wide array of other readers. Although the themes and findings of the chapters are relevant across the U.S. Department of Defense, to include all Services, the Joint Staff and defense agencies as well as allied and partner ministries of defense, this book is a case study of warfighting functions in the Naval Services—the U.S. Navy and U.S. Marine Corps. Sam J. Tangredi and George Galdorisi bring together over thirty experts, ranging from former DOD officials and retired flag officers to scientists and active duty junior officers. These contributors present views on a vast spectrum of subjects pertaining to the implementation of AI in modern warfare, including strategy, policy, doctrine, weapons, and ethical concerns.
Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.
As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
In an era of digital transformation within healthcare management, this important book outlines an ecosystem perspective to illustrate how a range of actors can use digital technologies to offer better value within the provision of healthcare services. From mobile applications to point-of-care diagnostic devices, from AI-enabled applications for data analysis to cloud models for service delivery and blockchain infrastructures, it provides a roadmap for how healthcare organizations can leverage these digital technologies. The book is also illustrated with case studies from different areas, including software for medical diagnostics, blockchain infrastructures for use in pharmaceutical supply chains and clinical trials, and federated learning platforms for genomics. Covering key issues such as patients’ rights to data and written in the aftermath of the COVID-19 pandemic, the book will be essential reading for researchers, postgraduate students, and professionals interested in how technology can support and enable healthcare service provision.
Imagine a world where the boundaries of creativity are not only stretched but redefined. This book serves as your guide to this new frontier, engaging general readers, tech enthusiasts, and creatives alike in the captivating interplay between human ingenuity and artificial intelligence (AI). Journey through the ground-breaking advancements in AI as they intersect with art, design, entertainment, and education. Discover how AI’s power to analyze and understand language can be harnessed to generate breathtaking visuals from mere text descriptions—a process known as text-conditional image generation. But this book goes beyond just showcasing AI’s capabilities: it delves into its transformative effects on the creative process itself. How will artists and designers adapt to a world where they co-create with machines? What are the implications of AI-generated art in educational settings? This book tackles these questions head on, offering a comprehensive view of the changing landscape of creativity. At its core, this book challenges you to rethink what’s possible in the realm of artistic expression. Manu contends that as AI evolves, mastering the art of collaboration between human and machine will become essential. More than just a look into the future, Transcending Imagination: Artificial Intelligence and the Future of Creativity is a roadmap for artists, designers, and educators eager to navigate the uncharted territory of AI-augmented creativity. It is a must-read for anyone interested in how AI might redefine the realms of art, design, and education.
In the new world of hybrid work and AI, one thing is clear: the war for talent is over—and talent won. With sparsely populated offices and people working from wherever they are, and with AI emerging everywhere in business and dominating headlines, our work lives have undergone a remarkable transformation, seemingly overnight. But the reality is that for years the ever-growing digital wave has been breaking down organizational boundaries and increasing the adoption of open innovation, including the use of crowdsourcing platforms as a talent solution. Now the imperative is clear: adapt to and leverage this new, digitally enabled world of "open talent"—or get left behind. In this eye-opening, essential guidebook, John Winsor and Jin Paik, with their work at the Laboratory for Innovation Science at Harvard, show how the massive reset of the pandemic allowed talented workers everywhere to exit their jobs without leaving the workforce. Now many are freelancing for multiple companies or are starting small businesses, challenging hiring managers as never before amidst a transformed workforce. What's more, talent has more power than ever using platforms such as Freelancer.com, Fiverr, and Upwork, setting their own terms for work: what, where, when, and at what price. How can companies adapt? The key, the authors argue, is shifting to a more distributed idea and structure of collaborative work. The authors call this a networked organization, where talent is culled from both inside and outside the organization and viewed through a single lens—as a global ecosystem that can be tapped as needed. With rich stories, keen insights, and an abundance of practical advice, Winsor and Paik provide a new framework and operating model for transforming your organization into a talent-orchestrating, problem-solving machine.
Digital technologies have created an opportunity to bring together knowledge management, leadership, and innovation. Any business that wishes to thrive in today's competitive digital landscape must prioritize knowledge management. Leadership in the digital era is about leveraging digital tools to manage knowledge to attain a strategic advantage effectively. Thus, leadership is an essential and central element for knowledge creation, acquisition, utilization, and integration. As a result, this book will focus on knowledge management, leadership, and innovation, all intertwined but not covered in existing research. The book integrates knowledge management, leadership, and innovation into a unified framework in the era of digitization, exploring the benefits knowledge management can bring to organizations adapting to new digital requirements in a dynamic environment. It presents both theoretical and empirical research to synthesize these distinct disciplines in a cohesive body of work. The resulting model will create a useful framework to be applied to future research and further add to practical and theoretical implications. The book is primarily written for scholars, researchers, and advanced students with an interest in the three disciplines and associated fields.