Buch, Englisch, 322 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g
Buch, Englisch, 322 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g
Reihe: Advances in Computational Collective Intelligence
ISBN: 978-1-032-57279-6
Verlag: Taylor & Francis Ltd
As climate change is affecting economies and markets globally, environmental sustainability is becoming more crucial. Sustainability emphasizes the equality of future generations and is typically seen to have three components: an environmental, an economic, and a social component. Because attaining environmental sustainability also involves risks that might influence corporate operations and prospects in a strongly competitive market, thriving markets and environmental deterioration cannot coexist.
Business practices are being drastically altered and improved using AI and machine learning (ML), a branch of AI that enables autonomous machines. Big data can assist AI to automatically learn and acquire knowledge to assist managers in achieving their practical and technical objectives. AI brings new methods for conducting business, finding new chances in the global market, and executing work.
Using AI to Develop Sustainability Strategies for a Changing Global Economy focuses on novel ideas and research for providing a broader outlook on sustainability in business. The book
- Focuses on how to reduce environmentally destructive investment patterns and activities.
- Discusses sustainable recovery policies using AI to build back better.
- Presents how businesses of the future operate, augmenting industry resources with the alliance between AI and sustainable business outcomes.
Presenting novel ideas for creating robust sustainability strategies, the book explores answers to the moral and ethical questions about using AI in decision-making, cyber-security, and resource management. With insight into developing efficient mechanisms to facilitate a circular economy, the book provides solutions that link the needs of the present generation without disadvantaging coming generations.
Zielgruppe
Postgraduate
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Betriebliches Energie- und Umweltmanagement
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Geowissenschaften Umweltwissenschaften Nachhaltigkeit
- Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
Weitere Infos & Material
1. Unveiling the Transformative Influence of Machine Learning Techniques on Business Data Analytics: A Comprehensive Exploration 2. AI-Powered Circular Waste Management: Leveraging Cluster Approach Framework in Jammu and Kashmir for Attaining Sustainable Development Goals 3. Artificial Intelligence and Sustainable Economy: Opportunities and Challenges 4. Animation Advertising: The Role of Cognitive and Emotional Response 5. Suitability of Indoor Air Quality Monitoring Devices 6. Recent Trend and Future Prospects of AI and Sustainable Finance: Using Natural Language Processing Model. 7. AI Technology for Sustainable Fashion Consumer Engagement: Overcoming Ethical Challenges 8. Artificial Intelligence: Its Growing Role in Human Resource Management 9. Harnessing Artificial Intelligence for Sustainability in Higher Education 10. AI and Sustainable Finance: A New Perspective on Data Collection 11. Artificial Intelligence in Promoting Sustainable Agricultural Practices for Better Economic Growth in India 12. The Use of Artificial Intelligence to Enhance Sustainable Development Goals: Public Sector Context 13. Artificial Intelligence, Energy and Environment 14. Revamping Agricultural Entrepreneurship through Artificial Intelligence: A Sustainability Perspective 15. AI and Sustainability: Its Recent Trends and Future Prospects 16. Implementation of Sustainable Goals using Artificial Intelligence: Recent Trends and Future Prospects 17. Artificial Intelligence and Sustainable Agriculture
