Artificial intelligence for sustainability:  innovations in business and financial services 

 - Cham  Palgrave Macmillan  2024 
 - xxiii, 237 p. 
<br/><br/> Table of contents:<br/>Artificial Intelligence for Sustainability: An Overview<br/>Thomas Walker, Stefan Wendt, Sherif Goubran, Tyler Schwartz<br/>Pages 1-10<br/>AI and Sustainable Industry Applications<br/>Front Matter<br/>Pages 11-11<br/>Download chapter PDF <br/>Fast Fashion’s Fate: Artificial Intelligence, Sustainability, and the Apparel Industry<br/>Andreas Kaplan<br/>Pages 13-30<br/>Artificial Intelligence and the Global Automotive Industry<br/>Tarek H. Selim, Mostafa Gad-El-Rab<br/>Pages 31-53<br/>The Emergence of the Nighttime Artificial Intelligence-Robot-Driven Economy<br/>Steve Lee, Won-Yong Oh, Irene Yi<br/>Pages 55-79<br/>AI and Sustainable Business Operations<br/>Front Matter<br/>Pages 81-81<br/>Download chapter PDF <br/>Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a More Ethical Future<br/>Lukasz Swiatek<br/>Pages 83-103<br/>Predictive Machine Learning in Assessing Materiality: The Global Reporting Initiative Standard and Beyond<br/>Jan Svanberg, Peter Öhman, Isak Samsten, Presha Neidermeyer, Tarek Rana, Natalia Berg<br/>Pages 105-131<br/>Artificial Intelligence and the Food Value Chain<br/>Stefan Wendt, Throstur Olaf Sigurjonsson<br/>Pages 133-150<br/>The Role of AI in Sustainable Development and the 2030 Agenda<br/>Front Matter<br/>Pages 151-151<br/>Download chapter PDF <br/>Analysis of Smart Meter Data for Energy Waste Management<br/>Djordje Batic, Lina Stankovic, Vladimir Stankovic<br/>Pages 153-173<br/>Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy<br/>Maria Cristiana Tudor, Lucia Gomez, Camilla Della Giovampaola, Hubert Halopé, Giuseppe Ugazio<br/>Pages 175-206<br/>The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions<br/>Robert Brian Smith, Mark Perry, Darryl Robert Smith<br/>Pages 207-228<br/><br/>[Artificial Intelligence for Sustainability: An Overview<br/>Thomas Walker, Stefan Wendt, Sherif Goubran, Tyler Schwartz<br/>Pages 1-10<br/>AI and Sustainable Industry Applications<br/>Front Matter<br/>Pages 11-11<br/>Download chapter PDF <br/>Fast Fashion’s Fate: Artificial Intelligence, Sustainability, and the Apparel Industry<br/>Andreas Kaplan<br/>Pages 13-30<br/>Artificial Intelligence and the Global Automotive Industry<br/>Tarek H. Selim, Mostafa Gad-El-Rab<br/>Pages 31-53<br/>The Emergence of the Nighttime Artificial Intelligence-Robot-Driven Economy<br/>Steve Lee, Won-Yong Oh, Irene Yi<br/>Pages 55-79<br/>AI and Sustainable Business Operations<br/>Front Matter<br/>Pages 81-81<br/>Download chapter PDF <br/>Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a More Ethical Future<br/>Lukasz Swiatek<br/>Pages 83-103<br/>Predictive Machine Learning in Assessing Materiality: The Global Reporting Initiative Standard and Beyond<br/>Jan Svanberg, Peter Öhman, Isak Samsten, Presha Neidermeyer, Tarek Rana, Natalia Berg<br/>Pages 105-131<br/>Artificial Intelligence and the Food Value Chain<br/>Stefan Wendt, Throstur Olaf Sigurjonsson<br/>Pages 133-150<br/>The Role of AI in Sustainable Development and the 2030 Agenda<br/>Front Matter<br/>Pages 151-151<br/>Download chapter PDF <br/>Analysis of Smart Meter Data for Energy Waste Management<br/>Djordje Batic, Lina Stankovic, Vladimir Stankovic<br/>Pages 153-173<br/>Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy<br/>Maria Cristiana Tudor, Lucia Gomez, Camilla Della Giovampaola, Hubert Halopé, Giuseppe Ugazio<br/>Pages 175-206<br/>The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions<br/>Robert Brian Smith, Mark Perry, Darryl Robert Smith<br/>Pages 207-228<br/><br/>[https://link.springer.com/book/10.1007/978-3-031-49979-1] 
<br/><br/> In light of the climate crisis, businesses are expected to embrace sustainability to reduce their negative impacts on the environment and society, while at the same time strengthening their organisations’ positive impacts. Managing this alongside the traditional requirements of business requires careful handling, and it is small wonder that some are heralding the advantages posed by artificial intelligence (AI) as the missing piece of the puzzle. This edited book aims to present a balanced discussion of the benefits and costs of using AI for the natural environment and society, including an analysis of its potential to help meet the UN’s Agenda 2030 and the Sustainable Development Goals. Researchers, practitioners, regulators, and entrepreneurs at the forefront of sustainable AI solutions share insights into the different sustainable applications of AI and highlight how these new developments may affect and contribute to our fight against climate change and address further environmental and social challenges. This volume will be of great interest to scholars and students of digital business and new technologies, sustainability, and strategy.<br/>(https://link.springer.com/book/10.1007/978-3-031-49979-1) 
<br/><br/><label>ISBN: </label>9783031499784 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Business innovation<br/>Business strategy<br/>Climate change<br/>Machine learning
<br/><br/><label>Dewey Class. No.: </label>006.3  / WAL