Amit Tiwary – författare

This book discusses business architecture as a basis for aligning efforts with outcomes. It views BA as complementary to enterprise architecture, where the focus of technological initiatives and inventories is to understand and improve business organization, business direction, and business decision-making. This book provides a practical, long-term view on BA. Based on the authors' consulting experience and industrial research, the material in this book is a valuable addition to the thought processes around BA and EA. The lead author has direct and practical experience with large clients in applying APQC capability framework for undertaking multiple enterprise-wide capability assessments.

This book analyses artificial intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco friendly AI, navigating legal frameworks and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future.This comprehensive study of AI begins by looking at AI's role in environmental sustainability, providing actionable strategies for eco friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimise its footprint and promote AI solutions that contribute to environmental goals. The authors extend into an insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real world case studies, the reader gains a practical understanding of how AI is being used in different contexts. This enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal and environmental objectives.The primary audience for this book includes business leaders, professionals, policymakers, technologists, and AI practitioners.

This book analyses artificial intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco friendly AI, navigating legal frameworks and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future.This comprehensive study of AI begins by looking at AI's role in environmental sustainability, providing actionable strategies for eco friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimise its footprint and promote AI solutions that contribute to environmental goals. The authors extend into an insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real world case studies, the reader gains a practical understanding of how AI is being used in different contexts. This enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal and environmental objectives.The primary audience for this book includes business leaders, professionals, policymakers, technologists, and AI practitioners.

This book analyses artificial intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco‑friendly AI, navigating legal frameworks and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real‑world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future.This comprehensive study of AI begins by looking at AI’s role in environmental sustainability, providing actionable strategies for eco‑friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimise its footprint and promote AI solutions that contribute to environmental goals. The authors extend into an insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real‑world case studies, the reader gains a practical understanding of how AI is being used in different contexts. This enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal and environmental objectives.The primary audience for this book includes business leaders, professionals, policymakers, technologists, and AI practitioners.

This book analyses artificial intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco‑friendly AI, navigating legal frameworks and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real‑world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future.This comprehensive study of AI begins by looking at AI’s role in environmental sustainability, providing actionable strategies for eco‑friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimise its footprint and promote AI solutions that contribute to environmental goals. The authors extend into an insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real‑world case studies, the reader gains a practical understanding of how AI is being used in different contexts. This enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal and environmental objectives.The primary audience for this book includes business leaders, professionals, policymakers, technologists, and AI practitioners.

This book discusses business architecture as a basis for aligning efforts with outcomes. It views BA as complementary to enterprise architecture, where the focus of technological initiatives and inventories is to understand and improve business organization, business direction, and business decision-making. This book provides a practical, long-term view on BA. Based on the authors' consulting experience and industrial research, the material in this book is a valuable addition to the thought processes around BA and EA. The lead author has direct and practical experience with large clients in applying APQC capability framework for undertaking multiple enterprise-wide capability assessments.