From Detroit to Germany, Japan, and Korea, within the incumbent automotive industry there is amplifying conversation about the magnitude, extent and timing of the disruption that will result from the introduction of autonomous and driverless vehicles. This disruption will in turn result from innovations in technology and business models and changing attitudes toward car ownership. Catalyzed by the development of Autonomous, Connected and Electrified (ACE) vehicles and Mobility Services, the emerging hybrid mobility model will blend car ownership with on-demand car access. Big data generated inside and outside ACE vehicles and the exploitation of that data by machine intelligence technologies are key ingredients in this next generation of mobility. Together they offer a unique and still overlooked value creation opportunity. The book presents a strategy for capitalizing on the opportunities presented in our driverless future through the combination of startup innovations with corporate innovation efforts.

Transportation Transformation is an indispensable GPS for every automaker, transportation startup, investor, policymaker, or regulator who is planning the future of urban and suburban transit, and anyone else with a need to understand the changing ways in which consumers and goods will get around. When an industry this large changes this rapidly, strategy becomes complex and challenging. Transportation Transformation provides the crucial vision necessary to navigate those changes with confidence. Comprehensive, global, and meticulously researched, Transportation Transformation presents a vision of next-generation urban mobility arising from the interplay among three major groups: the automakers, the mobility services companies, and the cities. Transportation's future is subject to consumer shifts, driven by disruptive technology and business model innovations including autonomous or automated, connected, and electrified vehicles; on-demand mobility services, such as ride-hailing and micromobility; and rapidly multiplying new ways to deliver consumer transportation and goods. The book describes the transformations that automakers, mobility services companies, and cities must undertake, the new value chains that will form as a result of these transformations, and the business models that will enable the transformed organizations to monetize or otherwise benefit from next-generation mobility. Transportation Transformation details the central role of data, AI and other data-driven technologies in next-generation mobility and explains the key risks we must address in the process of transforming transportation. Even as traditional models of vehicle acquisition and ownership weaken, new business models are emerging, including subscription-, merchandising-, and advertising-based revenue streams. Such innovations will remake the staid and traditional value chains that dominate today's transportation markets and create new ones. Transportation Transformation discusses these new models under a variety of implementation scenarios involving automakers, Tier 1 suppliers, mobility services companies, and Internet technology providers. It analyzes the resulting new revenue streams and the value chains that will remake the economics of the automobile industry as well as the broader transportation and goods delivery industries. And it discusses in revealing detail the opportunities and risks ushered in by these shifts and disruptions.

The subject of driverless and even ownerless cars has the potential to be the most disruptive technology for real estate, land use, and parking since the invention of the elevator. This book includes new research and economic analysis, plus a thorough review of the current literature to pose and attempt to answer a number of important questions about the effect that driverless vehicles may have on land use in the United States, especially on parking. Simons outlines the history of disruptive technologies in transport and real estate before examining how the predicted changes brought in by the adoption of driverless technologies and decline in car ownership will affect our urban areas. What could we do with all the parking areas in our cities and our homes and institutional buildings that may no longer be required? Can they be sustainably repurposed? Will self-driving cars become like horses, used only by hobbyists for recreation and sport? While the focus is on parking, the book also contains the views of real estate economists, architects, and policymakers and is essential reading for real estate developers and investors, transport economists, planners, politicians, and policymakers who need to consider the implications of a future with more driverless vehicles. Fasten your seat belt: like it or not, driverless cars will begin to change the way we move about our cities within ten years.

Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability. Dauvergne finds that corporations and states often use AI in ways that are antithetical to sustainability. The competition to profit from AI is entrenching technocratic management, revving up resource extraction, and turbocharging consumption, as consumers buy new smart devices (and discard their old, less-smart ones). Smart technology is helping farmers grow crops more efficiently, but also empowering the agrifood industry. Moreover, states are weaponizing AI to control citizens, suppress dissent, and aim cyberattacks at rival states. Is there a way to harness the power of AI for environmental and social good? Dauvergne argues for precaution and humility as guiding principles in the deployment of AI.

Elevate your accounting skills by applying ChatGPT across audit, tax, consulting, and beyond Key Features Leverage the impact of AI on modern accounting, from audits to corporate governance Use ChatGPT to streamline your accounting tasks with practical hands-on techniques Understand the impact of AI in accounting through in-depth chapters covering various domains, including ethical considerations and data analytics Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the fast-paced AI world, accounting professionals are increasingly challenged by the complexities of AI. Many struggle to integrate these advanced tools into their workflows, leading to a sense of overwhelm. ChatGPT for Accounting bridges this gap by not only simplifying AI concepts but also offering practical insights for its application in various accounting domains. This book takes you from the foundational principles of Generative Artificial Intelligence (GAI) to its practical applications in audits, tax planning, practice management, fraud examination, financial analysis, and beyond. Each chapter equips you with essential skills, showing you how AI can revolutionize internal control systems, enhance recruitment processes, streamline marketing plans, optimize tax strategies, and boost efficiency in audits. You’ll then advance to exploring the role of AI in forensic accounting, financial analysis, managerial accounting, and corporate governance, while also addressing ethical and security implications. Concluding with a reflective outlook on the promises and challenges of AI, you’ll gain a holistic view of the future of accounting. By the end of this book, you’ll be equipped with the knowledge to harness the power of AI effectively and ethically, transforming your accounting practice and staying ahead in the ever-evolving landscape.What you will learn Understand the fundamentals of AI and its impact on the accounting sector Grasp how AI streamlines and enhances the auditing process for high accuracy Uncover the potential of AI in simplifying tax processes and ensuring compliance Get to grips with using AI to identify discrepancies and prevent financial fraud Master the art of AI-powered data analytics for informed decision-making Gain insights into seamlessly integrating AI tools within existing accounting systems Stay ahead in the evolving landscape of AI-led accounting tools and practices Who this book is for Whether you're a seasoned accounting professional, a C-suite executive, a business owner, an accounting educator, a student of accounting, or a technology enthusiast, this book provides the knowledge and insights you need to navigate the changing landscape in applying GAI technology to make a difference in all you do. An appreciation and understanding of the accounting process and concepts will be beneficial.

This book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications. This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.