Vinaytosh Mishra – författare

Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions delves into the intricate world of supply chain management, emphasizing the role of digital transformation in modern supply chains. Through a blend of theoretical learning and practical applications, readers will gain a deep understanding of foundational supply chain principles while exploring emerging trends and technologies reshaping the industry. Topics such as system dynamics modelling, machine learning, artificial intelligence, and end-to-end visibility are explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management. Readers will learn how comprehend core principles and elements of supply chain management and its pivotal role in businesses and industries, recognize the significance of digital transformation in supply chains, understand the tools, technologies, and strategies essential for a successful transformation, evaluate the importance of end-to-end supply chain visibility, employ methods and technologies to enhance this visibility in practical scenarios, and apply system dynamics modeling techniques to address complex supply chain problems to optimize supply chain processes, and much more.Covers system dynamics modeling techniques to address complex supply chain problems and optimize supply chain processesDiscusses the potential of machine learning and artificial intelligence in supply chains, along with application of these technologies to innovate and solve real-world supply chain challengesPresents theories and examples on supply chain analytics and tools to make data-driven decisions for enhancing efficiency and reducing operational costs

Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions delves into the intricate world of supply chain management, emphasizing the role of digital transformation in modern supply chains. Through a blend of theoretical learning and practical applications, readers will gain a deep understanding of foundational supply chain principles while exploring emerging trends and technologies reshaping the industry. Topics such as system dynamics modelling, machine learning, artificial intelligence, and end-to-end visibility are explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management. Readers will learn how comprehend core principles and elements of supply chain management and its pivotal role in businesses and industries, recognize the significance of digital transformation in supply chains, understand the tools, technologies, and strategies essential for a successful transformation, evaluate the importance of end-to-end supply chain visibility, employ methods and technologies to enhance this visibility in practical scenarios, and apply system dynamics modeling techniques to address complex supply chain problems to optimize supply chain processes, and much more. - Covers system dynamics modeling techniques to address complex supply chain problems and optimize supply chain processes- Discusses the potential of machine learning and artificial intelligence in supply chains, along with application of these technologies to innovate and solve real-world supply chain challenges- Presents theories and examples on supply chain analytics and tools to make data-driven decisions for enhancing efficiency and reducing operational costs

Digital transformation and AI innovation are revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline processes, and improve outcomes. The integration of artificial intelligence (AI) into healthcare systems is a pivotal aspect of this transformation, promising to reshape how healthcare is delivered and experienced. AI technologies have the potential to optimize diagnosis, treatment, and resource allocation, ultimately leading to more efficient and effective healthcare services. However, the introduction of AI in healthcare necessitates a cautious approach, considering factors such as patient perception, ethical implications, and the need for robust evaluation frameworks. This book explores the transformative synergy between digital transformation and AI innovation in the healthcare sector, with a focus on optimizing operational processes and delivering superior patient care and enhancing healthcare business practices. The convergence of digital technologies and AI is revolutionizing healthcare delivery, from streamlining administrative tasks to enabling personalized treatment and diagnosis. This book aims to investigate into key applications, challenges, and future directions of this dynamic synergy, offering practical insights for healthcare professionals, researchers, policymakers, and technology enthusiasts.The "e;Advances in Digital Technology and Data-Driven Business Practices"e; series aims to shed light on the rapid developments, significance, benefits, and practical applications of evolving digital technologies and data-driven decision-making practices in businesses.

Digital transformation and AI innovation are revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline processes, and improve outcomes. The integration of artificial intelligence (AI) into healthcare systems is a pivotal aspect of this transformation, promising to reshape how healthcare is delivered and experienced. AI technologies have the potential to optimize diagnosis, treatment, and resource allocation, ultimately leading to more efficient and effective healthcare services. However, the introduction of AI in healthcare necessitates a cautious approach, considering factors such as patient perception, ethical implications, and the need for robust evaluation frameworks. This book explores the transformative synergy between digital transformation and AI innovation in the healthcare sector, with a focus on optimizing operational processes and delivering superior patient care and enhancing healthcare business practices. The convergence of digital technologies and AI is revolutionizing healthcare delivery, from streamlining administrative tasks to enabling personalized treatment and diagnosis. This book aims to investigate into key applications, challenges, and future directions of this dynamic synergy, offering practical insights for healthcare professionals, researchers, policymakers, and technology enthusiasts.The "Advances in Digital Technology and Data-Driven Business Practices" series aims to shed light on the rapid developments, significance, benefits, and practical applications of evolving digital technologies and data-driven decision-making practices in businesses.

Digital transformation and AI innovation are revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline processes, and improve outcomes. The integration of artificial intelligence (AI) into healthcare systems is a pivotal aspect of this transformation, promising to reshape how healthcare is delivered and experienced. AI technologies have the potential to optimize diagnosis, treatment, and resource allocation, ultimately leading to more efficient and effective healthcare services. However, the introduction of AI in healthcare necessitates a cautious approach, considering factors such as patient perception, ethical implications, and the need for robust evaluation frameworks. This book explores the transformative synergy between digital transformation and AI innovation in the healthcare sector, with a focus on optimizing operational processes and delivering superior patient care and enhancing healthcare business practices. The convergence of digital technologies and AI is revolutionizing healthcare delivery, from streamlining administrative tasks to enabling personalized treatment and diagnosis. This book aims to investigate into key applications, challenges, and future directions of this dynamic synergy, offering practical insights for healthcare professionals, researchers, policymakers, and technology enthusiasts.The "e;Advances in Digital Technology and Data-Driven Business Practices"e; series aims to shed light on the rapid developments, significance, benefits, and practical applications of evolving digital technologies and data-driven decision-making practices in businesses.

The pace of technological innovation has accelerated rapidly over the past decade, and this has led to Disruptive Business Strategies (DBS) that have reshaped many industries. Technology has been essential for creating and sustaining many new businesses, and also giving them a competitive edge.This volume of Review of Management Literature (RoML), focuses on two key areas: The first is the latest technologies that are disrupting traditional business models, including artificial intelligence, blockchain, cloud computing, and the Internet of Things. The second is the disruptive business strategies that are being used to leverage these technologies, including platform-based business models, ecosystem-based strategies, and open innovation. The papers included in this volume have measured the extent of depth and coverage of the literature on technological innovations.Illustrated throughout with these latest literature review summaries and future research areas, this volume will be of special interest to academicians, researchers, and practitioners seeking to understand the technology-driven changes that are revolutionising the modern business world.