Artificial Intelligence for Sustainability : Innovations in Business and Financial Services
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| Autore: |
Walker Thomas
|
| Titolo: |
Artificial Intelligence for Sustainability : Innovations in Business and Financial Services
|
| Pubblicazione: | Cham : , : Palgrave Macmillan, , 2024 |
| ©2024 | |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (250 pages) |
| Disciplina: | 658.0563 |
| Altri autori: |
WendtStefan
GoubranSherif
SchwartzTyler
|
| Nota di contenuto: | Intro -- Preface -- Acknowledgements -- Contents -- About the Editors and Contributors -- About the Editors -- Notes on Contributors -- Copy Editing Team -- List of Figures -- List of Tables -- 1: Artificial Intelligence for Sustainability: An Overview -- 1.1 Introduction -- 1.2 Overview of Content -- References -- Part I: AI and Sustainable Industry Applications -- 2: Fast Fashion's Fate: Artificial Intelligence, Sustainability, and the Apparel Industry -- 2.1 Silhouette: Chapter's Contour -- 2.2 Pattern: AI and Algorithms -- 2.3 Ensemble: Apparel, Sustainability, and AI -- 2.4 Samples: Cases and Companies -- 2.5 Trends: Fashion's Future -- References -- 3: Artificial Intelligence and the Global Automotive Industry -- 3.1 Introduction -- 3.2 The Six Stages of Self-Driving and Their Implications -- 3.3 Artificial Intelligence and Technology Features -- 3.4 Autonomous Vehicles (AV) Industry Forces -- 3.5 Conclusion and Path Forward -- References -- 4: The Emergence of the Nighttime Artificial Intelligence-Robot-Driven Economy -- 4.1 Introduction -- 4.2 Transitions Toward an AI-Robot-Driven Economy -- 4.3 Decentralization, Localization, and Customization -- 4.4 AI-Robot-Driven Circular Economy (CE) and Value Chain Optimization -- 4.5 The Emergence of the AI-Robot-Driven Nighttime Economy -- 4.6 Conclusion -- References -- Part II: AI and Sustainable Business Operations -- 5: Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a More Ethical Future -- 5.1 Introduction -- 5.2 Bounded AI -- 5.3 The Greening of Bounded AI -- 5.4 Further Considerations for the Business Sector -- 5.5 Recommendations for Business Leaders, Policymakers, and Other Stakeholders -- 5.6 Conclusion -- References. |
| 6: Predictive Machine Learning in Assessing Materiality: The Global Reporting Initiative Standard and Beyond -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Methodology and Results -- 6.3.1 Methodology -- 6.3.2 Results -- 6.4 Conclusions and Limitations -- References -- 7: Artificial Intelligence and the Food Value Chain -- 7.1 Introduction -- 7.2 Background -- 7.2.1 The Sustainability of Value Chains -- 7.2.2 Sustainable Food Value Chains -- 7.2.3 Artificial Intelligence (AI) -- 7.3 Sustainability Benefits from Artificial Intelligence in the Food Value Chain -- 7.3.1 Food Production -- 7.3.2 Food Aggregation -- 7.3.3 Food Processing -- 7.3.4 Food Distribution -- 7.4 Discussion and Conclusions -- References -- Part III: The Role of AI in Sustainable Development and the 2030 Agenda -- 8: Analysis of Smart Meter Data for Energy Waste Management -- 8.1 Introduction -- 8.2 Sustainability Benefits of Smart Grids and Smart Meters -- 8.3 Challenges of Using AI for Smart Meter Data Analysis -- 8.4 The Future of AI for Smart Meter Data Analytics -- References -- 9: Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy -- 9.1 Overview -- 9.2 Contextualizing Sustainability - The SDG Framework -- 9.3 The Landscape of AI for SDGs -- 9.4 Philanthropy for the SDGs -- 9.5 Mapping SDG-Alignment of the Swiss Philanthropic Ecosystem -- 9.6 Risks of AI in Philanthropy and SDGs -- 9.7 Conclusion -- References -- 10: The Potential Role of Artificial Intelligence in the Commercialization of Traditional Medicines in Tropical Regions -- 10.1 Introduction -- 10.2 Sustainability Challenges with Developing Traditional and Complementary Medicines -- 10.3 Examples of Sources of Information on Traditional and Complementary Medicines. | |
| 10.4 Potential Role for AI in Developing a Comprehensive Process to Identify Efficacious Traditional Medicines -- 10.5 Discussion and Recommendations -- References -- Index. | |
| Titolo autorizzato: | Artificial Intelligence for Sustainability |
| ISBN: | 3-031-49979-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910805569503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |