Multidisciplinary Approaches To Ai Data And Innovation For A Smarter World
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Multidisciplinary Approaches to AI, Data, and Innovation for a Smarter World
The rapid evolution of AI, data science, and emerging technologies is reshaping industries, economies, and societal interactions on an unprecedented scale. These advancements drive innovation in areas such as healthcare, finance, transportation, and environmental sustainability, offering transformative solutions while also raising critical ethical and regulatory challenges. As AI systems become more integrated into processes, multidisciplinary collaboration is essential to ensure transparency, fairness, and accountability. The responsible development and deployment of AI will determine its long-term impact, shaping a future where technology aligns with human values and social progress. Multidisciplinary Approaches to AI, Data, and Innovation for a Smarter World examines the technical basis, ethical issues, social repercussions, and prospects of AI-driven progress. It guides readers through the complex and ever-changing world of AI-driven transformation, preparing them to contribute to a future where technology serves humanity responsibly. Covering topics such as blockchain, machine learning, and social media, this book is an excellent resource for academicians, researchers, industry professionals, policymakers, business leaders, entrepreneurs, students, educators, and more.
Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration
Creativity must be turned into innovation that adds value and leads to strategic action. Innovation is often associated with Silicon Valley, expensive research and development departments, and expensive commercialization that primarily benefits a small portion of the world’s population. A small portion of the world’s population working together to solve wicked green problems is not enough either. Green creativity and eco-innovation are necessary to help solve green problems by making products and services available and affordable to the masses. Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration focuses on the importance of green creativity, eco-innovation, and collaboration to create a more sustainable world. It builds on the available literature and joint expertise in the field of management while providing further research opportunities in this dynamic field. Covering topics such as eco-leadership, green marketing, and social responsibility communication, this premier reference source is a comprehensive and timely resource for government officials, decision makers, business leaders and executives, students and educators of higher education, librarians, researchers, and academicians.
Smart Healthcare Systems
About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.