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Data-Driven Decision Making for Long-Term Business Success
In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic ...
Recent Developments in Machine and Human Intelligence
Establishing the means to improve performance in healthy, clinical, and military populations has long been a focus of study in the psychological and brain sciences. However, a major obstacle to this goal is generating individualized performance phenotypes that allow for the design of interventions that are tailored to the specific needs of the individual. Recent developments in artificial intelligence (AI) have qualified for the development of precision approaches that consider individual differences, allowing, for example, the establishment of individualized training, preparation, and recuperation programs optimal for an individual’s cognitive and biological phenotype. Corollary developme...
Data-Driven Intelligent Business Sustainability
Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.
The Implications of China-Taiwan Economic Liberalization
China and Taiwan have built one of the most intertwined and important economic relationships in the world, and yet that relationship is not mutually open, compliant with World Trade Organization norms, or even fully institutionalized. What's more, despite massive trade and investment flows, the boundary between the two is a serious flashpoint for potential conflict. But leaders in Beijing and Taipei have committed to normalize and deepen their economic intercourse and open a new post-Cold War era in their relationship. While the political significance of this gambit has captured attention worldwide, the scope of opening intended and the bilateral, regional, and global effects likely to ensue are as yet poorly understood. This volume attempts to remedy that uncertainty with careful modeling combined with a qualitative assessment of the implications of the cross-strait economic opening now agreed in an Economic Cooperation Framework Agreement (ECFA). The study explores the implications for Taiwan and China, for their neighbors, and for the United States if this undertaking is fully implemented by 2020.
Advances in Artificial and Human Intelligence in the Modern Era
In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising dema...
Computational Intelligence for Clinical Diagnosis
This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.
The National Medical Dictionary
Tables include: Table of doses, Table of antidotes, Systems of numbering spectacle-glasses, expectation of life, relation of girth of chest to height in men, dimensions of parts and organs of body, weight of organs of human body, dimensions of foetus-comparative scales, table of foods and dietaries.
High Performance Computing and Communications
This book constitutes the refereed proceedings of the Third International Conference on High Performance Computing and Communications, HPCC 2007. The 75 revised full papers address all current issues of parallel and distributed systems and high performance computing and communication, including networking protocols, embedded systems, wireless, mobile and pervasive computing, Web services and internet computing, and programming interfaces for parallel systems.
