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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.
List of contents
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. Harnessing Artificial Intelligence for Sustainability in Higher Education 9. AI and Sustainable Finance: A New Perspective on Data Collection 10. Artificial Intelligence in Promoting Sustainable Agricultural Practices for Better Economic Growth in India 11. The Use of Artificial Intelligence to Enhance Sustainable Development Goals: Public Sector Context 12. Artificial Intelligence, Energy and Environment 13. Revamping Agricultural Entrepreneurship through Artificial Intelligence: A Sustainability Perspective 14. AI and Sustainability: Its Recent Trends and Future Prospects 15. Implementation of Sustainable Goals using Artificial Intelligence: Recent Trends and Future Prospects 16. Artificial Intelligence and Sustainable Agriculture
About the author
Dr. A. V. Senthil Kumar is a professor and principal at the Nehru Institute of Information Technology and Management, Coimbatore, India.
Dr. Ankita Chaturvedi is an accomplished academic and a dedicated Associate Professor at IIS University, Jaipur, India and has an impressive publication record with more than 53 research papers in reputable national and international journals.
Dr. Atul Bansal is a self-motivated teacher with more than 24 years of experience in teaching, research, and administration at various universities throughout the world. He is currently Assistant Professor in Accounting, College of Business Administration, University of Bahrain, Kingdom of Bahrain.
Dr. Rohaya Latip is Associate Professor at Faculty of Computer Science and Information Technology, University Putra, Malaysia.
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