Sourav Kumar Das – författare

In the swiftly transforming environment of the 21st century, businesses and organizations encounter unparalleled challenges and prospects. At the vanguard of this transformation is artificial intelligence (AI), which has emerged as a pivotal catalyst for innovation across various sectors. By optimizing operational efficiencies, enhancing customer engagement, and facilitating data-informed decision-making, AI is fundamentally altering the operational frameworks of enterprises. Nevertheless, the incorporation of AI into business strategy transcends mere technological adoption; it entails a comprehensive reimagining of the business model to synchronize with the capabilities and potentialities of AI.This new book, Contemporary Strategic Business Transformation: AI Frontiers, investigates the confluence of modern strategic business transformation and AI. It scrutinizes the principles and methodologies that organizations must implement to adeptly navigate the intricacies of the contemporary business milieu. Through the analysis of empirical case studies and the provision of pragmatic insights, the book helps to empower leaders with the necessary knowledge and tools to leverage AI for enduring growth and competitive superiority.This volume highlights various aspects of AI in business strategy, such as the role of artificial intelligence in combating climate change, the impact of machine learning and artificial intelligence on strategic management, the new tech-focused age of humans-the Technopocene, digital adaptation in the educational sector, deepfakes in media, and more, all of which are very related with the present business world.Offering chapters on diverse topics on AI in business transforming, this volume will be a rich resource for business and IT professionals in many sectors who hope to harness the power of AI for future growth and success.

In the swiftly transforming environment of the 21st century, businesses and organizations encounter unparalleled challenges and prospects. At the vanguard of this transformation is artificial intelligence (AI), which has emerged as a pivotal catalyst for innovation across various sectors. By optimizing operational efficiencies, enhancing customer engagement, and facilitating data-informed decision-making, AI is fundamentally altering the operational frameworks of enterprises. Nevertheless, the incorporation of AI into business strategy transcends mere technological adoption; it entails a comprehensive reimagining of the business model to synchronize with the capabilities and potentialities of AI.This new book, Contemporary Strategic Business Transformation: AI Frontiers, investigates the confluence of modern strategic business transformation and AI. It scrutinizes the principles and methodologies that organizations must implement to adeptly navigate the intricacies of the contemporary business milieu. Through the analysis of empirical case studies and the provision of pragmatic insights, the book helps to empower leaders with the necessary knowledge and tools to leverage AI for enduring growth and competitive superiority.This volume highlights various aspects of AI in business strategy, such as the role of artificial intelligence in combating climate change, the impact of machine learning and artificial intelligence on strategic management, the new tech-focused age of humans-the Technopocene, digital adaptation in the educational sector, deepfakes in media, and more, all of which are very related with the present business world.Offering chapters on diverse topics on AI in business transforming, this volume will be a rich resource for business and IT professionals in many sectors who hope to harness the power of AI for future growth and success.

In the swiftly transforming environment of the 21st century, businesses and organizations encounter unparalleled challenges and prospects. At the vanguard of this transformation is artificial intelligence (AI), which has emerged as a pivotal catalyst for innovation across various sectors. By optimizing operational efficiencies, enhancing customer engagement, and facilitating data-informed decision-making, AI is fundamentally altering the operational frameworks of enterprises. Nevertheless, the incorporation of AI into business strategy transcends mere technological adoption; it entails a comprehensive reimagining of the business model to synchronize with the capabilities and potentialities of AI.This new book, Contemporary Strategic Business Transformation: AI Frontiers, investigates the confluence of modern strategic business transformation and AI. It scrutinizes the principles and methodologies that organizations must implement to adeptly navigate the intricacies of the contemporary business milieu. Through the analysis of empirical case studies and the provision of pragmatic insights, the book helps to empower leaders with the necessary knowledge and tools to leverage AI for enduring growth and competitive superiority.This volume highlights various aspects of AI in business strategy, such as the role of artificial intelligence in combating climate change, the impact of machine learning and artificial intelligence on strategic management, the new tech-focused age of humans—the Technopocene, digital adaptation in the educational sector, deepfakes in media, and more, all of which are very related with the present business world.Offering chapters on diverse topics on AI in business transforming, this volume will be a rich resource for business and IT professionals in many sectors who hope to harness the power of AI for future growth and success.

The global political economy is currently in the midst of a refugee crisis, one that is complex and that remains poorly researched and under-theorized within both economics and political science. There is little understanding of the many diverse political, economic and geographical situations that led to it, and refugees are all too often included in the category of forced migrants. Refugee Crisis and Third-World Economies provides a much-needed corrective to such blind spots and oversimplifications. The ten chapters written by eminent scholars offer a unique interdisciplinary investigation into the complicated ramifications of the refugee crisis. It identifies the major socio-political factors that create refugee crises, including political instability, unemployment, a lack of GDP growth, and a lack of medical facilities. It offers unique insights into the crisis’s economic impact on asylum countries. It discusses how relevant states, UN agencies, NGOs, and refugees themselves can work together to improve the lot of refugees. And perhaps most importantly, it provides detailed empirical investigations into specific refugee groups and their struggle for legal assistance, socio-political recognition, and personal stability. For its theoretical rigor and granular empirical insights, this book is essential reading for both researchers and policymakers working on refugee crises worldwide.

The global political economy is currently in the midst of a refugee crisis, one that is complex and that remains poorly researched and under-theorized within both economics and political science. There is little understanding of the many diverse political, economic and geographical situations that led to it, and refugees are all too often included in the category of forced migrants. Refugee Crisis and Third-World Economies provides a much-needed corrective to such blind spots and oversimplifications. The ten chapters written by eminent scholars offer a unique interdisciplinary investigation into the complicated ramifications of the refugee crisis. It identifies the major socio-political factors that create refugee crises, including political instability, unemployment, a lack of GDP growth, and a lack of medical facilities. It offers unique insights into the crisis’s economic impact on asylum countries. It discusses how relevant states, UN agencies, NGOs, and refugees themselves can work together to improve the lot of refugees. And perhaps most importantly, it provides detailed empirical investigations into specific refugee groups and their struggle for legal assistance, socio-political recognition, and personal stability. For its theoretical rigor and granular empirical insights, this book is essential reading for both researchers and policymakers working on refugee crises worldwide.

The global political economy is currently in the midst of a refugee crisis, one that is complex and that remains poorly researched and under-theorized within both economics and political science. There is little understanding of the many diverse political, economic and geographical situations that led to it, and refugees are all too often included in the category of forced migrants. Refugee Crisis and Third-World Economies provides a much-needed corrective to such blind spots and oversimplifications. The ten chapters written by eminent scholars offer a unique interdisciplinary investigation into the complicated ramifications of the refugee crisis. It identifies the major socio-political factors that create refugee crises, including political instability, unemployment, a lack of GDP growth, and a lack of medical facilities. It offers unique insights into the crisis’s economic impact on asylum countries. It discusses how relevant states, UN agencies, NGOs, and refugees themselves can work together to improve the lot of refugees. And perhaps most importantly, it provides detailed empirical investigations into specific refugee groups and their struggle for legal assistance, socio-political recognition, and personal stability. For its theoretical rigor and granular empirical insights, this book is essential reading for both researchers and policymakers working on refugee crises worldwide.

This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Current challenges such as resource scarcity and colossal carbon footprint demand innovative solutions in design and construction. Artificial Intelligence (AI) is a promising tool which can process large datasets, predict outcomes, and optimize solutions, enhancing infrastructure resilience. It aids in identification, predictive modelling, forecasting, and real-time monitoring, providing essential insights for damage detection, pattern recognition, and predictive maintenance. Developing sustainable construction materials in civil engineering is crucial to meet the demand for high-performance structures. Research in this area focuses on AI applications, such as artificial neural networks (ANNs) for concrete evaluation, deep learning models, and life cycle assessment (LCA) for a circular economy. AI-driven innovation in smart cities, metaheuristic techniques, and soft computing is increasingly essential for material testing, characterization, and waste utilization. Hence, this book volume explores the challenges of resilient infrastructure, examines AI's potential solutions, and explores real-world AI applications in design and construction.

This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Current challenges such as resource scarcity and colossal carbon footprint demand innovative solutions in design and construction. Artificial Intelligence (AI) is a promising tool which can process large datasets, predict outcomes, and optimize solutions, enhancing infrastructure resilience. It aids in identification, predictive modelling, forecasting, and real-time monitoring, providing essential insights for damage detection, pattern recognition, and predictive maintenance. Developing sustainable construction materials in civil engineering is crucial to meet the demand for high-performance structures. Research in this area focuses on AI applications, such as artificial neural networks (ANNs) for concrete evaluation, deep learning models, and life cycle assessment (LCA) for a circular economy. AI-driven innovation in smart cities, metaheuristic techniques, and soft computing is increasingly essential for material testing, characterization, and waste utilization. Hence, this book volume explores the challenges of resilient infrastructure, examines AI's potential solutions, and explores real-world AI applications in design and construction.