Generative Ai For A Net Zero Economy


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Generative AI for a Net-Zero Economy


Generative AI for a Net-Zero Economy

Author: Subhra R. Mondal

language: en

Publisher: Springer Nature

Release Date: 2025-08-11


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This book covers the technological aspects of Generative AI, its applications in achieving a net-zero carbon economy, the challenges of climate change, and the economic and management implications of these transitions. The book explores the transformative potential of Generative AI in driving the transition to a net-zero economy. It examines how this cutting-edge technology is revolutionizing climate change mitigation strategies and reshaping business models in the digital age. The book offers a comprehensive guide to leveraging AI for sustainable innovation through case studies, expert insights, and forward-thinking analysis. It addresses the challenges and opportunities in integrating AI into climate action plans, economic policies, and corporate strategies. Essential reading for policymakers, business leaders, and technologists, this book provides a roadmap for harnessing Generative AI to create a sustainable, prosperous future encompassing several key elements that align with the United Nations Sustainable Development Goals, in particular SDG 13: Climate Action.

Generative AI for a Net-Zero Economy


Generative AI for a Net-Zero Economy

Author: Subhra R. Mondal

language: en

Publisher: Springer

Release Date: 2025-08-18


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This book covers the technological aspects of Generative AI, its applications in achieving a net-zero carbon economy, the challenges of climate change, and the economic and management implications of these transitions. The book explores the transformative potential of Generative AI in driving the transition to a net-zero economy. It examines how this cutting-edge technology is revolutionizing climate change mitigation strategies and reshaping business models in the digital age. The book offers a comprehensive guide to leveraging AI for sustainable innovation through case studies, expert insights, and forward-thinking analysis. It addresses the challenges and opportunities in integrating AI into climate action plans, economic policies, and corporate strategies. Essential reading for policymakers, business leaders, and technologists, this book provides a roadmap for harnessing Generative AI to create a sustainable, prosperous future encompassing several key elements that align with the United Nations Sustainable Development Goals, in particular SDG 13: Climate Action.

Generative AI


Generative AI

Author: N. Gayathri

language: en

Publisher: John Wiley & Sons

Release Date: 2025-05-28


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This book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration. Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. This volume provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, and audio, that closely mimics human creativity and intelligence. Readers will gain valuable insights into the fundamentals of generative AI, innovative applications, ethical and social considerations, interdisciplinary insights, and future directions of this invaluable emerging technology. Generative AI: Disruptive Technologies for Innovative Applications is an indispensable resource for researchers, practitioners, and anyone interested in the transformative potential of generative AI in revolutionizing industries, unleashing creativity, and pushing the boundaries of what’s possible in artificial intelligence. Audience AI researchers, industry professionals, data scientists, machine learning experts, students, policymakers, and entrepreneurs interested in the innovative field of generative AI.