The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem. Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare. This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.

This book explores the link between entrepreneurship and innovation, providing an understanding of the latest developments in the field. It explores numerous challenges to entrepreneurship, such as failures and socio-economic issues, and presents concepts, models, and implementation strategies for Industry 4.0. Industry 4.0 presents unique challenges and unique opportunities to entrepreneurs. Social, techno, and women's entrepreneurship, among other business sectors and domains, are discussed in this new context. This book highlights the strategies of successful start-up organizations, focusing on the most critical factors for starting a new enterprise in today's business environment, and provides efficient remedies for common problems. These strategies and solutions will help build a sustainable development model for developing economies and contribute to a global awareness of the entrepreneurship environment. Entrepreneurial Innovations, Models, and Implementation Strategies for Industry 4.0 is both a practical guide for new entrepreneurs to establishing start-ups and an enlightening collection of research for graduate students, postgraduate students, scholars, and academicians across all disciplines. Policymakers will also benefit from this book's understanding of entrepreneurial ecosystems and their applications.

This edited book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes Through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers.

This book shows how to build and maintain a distinctive and credible employer brand and develop a set of relevant success metrics to help measure return on investment (ROI). Starting with the current interest in employer branding, this book looks at the historical roots of brand management and the practical steps to achieve employer brand management success. The book will review the pressures that have generated current interest in employer branding. It goes on to look at the historical roots of brand management and the practical steps necessary to achieve employer brand management success. The book includes the business case, research, positioning, implementation, management and measurement, and case studies of big-named employer brand stories. This book will provide new insights into the field of employer branding and provide directions and tools for organizational brand building. It will be beneficial for research scholars, engineers, practitioners, and management students.