
Using AI to Develop Sustainability Strategies for a Changing Global Economy
Description
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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.
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Persons
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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Content
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File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
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