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| Title | The Role Of Artificial Intelligence In Promoting Sustainable Business Operations And Autonomy |
|---|---|
| ID_Doc | 56492 |
| Authors | Kumar Tyagi P.; Sharma P.; Kumar Singh A.; Tyagi P.; Sharma P.; Jit Singh V. |
| Year | 2023 |
| Published | 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023 |
| DOI | http://dx.doi.org/10.1109/UPCON59197.2023.10434654 |
| Abstract | This empirical study examines the ways artificial intelligence (AI) is fundamentally changing sectors around the globe, with a particular emphasis on the way AI is revolutionizing autonomous and sustainable business practices. The combination of artificial intelligence (AI) with sustainability cannot be considered accidental; rather, it is a calculated reaction to the urgent need to solve environmental issues, improve productivity, and promote innovation. Fundamentally, sustainability aims to strike a balance between the environmental, social, and economic ramifications of corporate operations. Artificial intelligence (AI) is essential to establishing this balance because of its capacity to analyse enormous data volumes, extract insightful knowledge, and make deft judgments in real time. It gives organizations the ability to simultaneously enhance the standard of living for people and communities while decreasing their environmental impact, maximize resource use, and negotiate the challenges of a fast-paced global marketplace. The literature review in the research emphasizes the way artificial intelligence (AI) maximizes resource utilization, minimizes waste, and aids in environmental conservation and monitoring. It emphasizes the manner in which artificial intelligence (AI) may improve waste reduction, energy efficiency, and accurate agriculture, including autonomous procedures. Robotic process automation and predictive analytics systems powered by AI are prime examples of the operational autonomy attained in business. AI, sustainability, and autonomy work together to generate a potent blend that promotes eco-friendly behaviour and increases productivity. It makes the deployment of Internet of Things technology, smart cities, and circular economy models easier. The study recognizes difficulties and moral issues, which include data privacy and employment displacement, despite the enormous promise. © 2023 IEEE. |
| Author Keywords | Artificial Intelligence; Autonomy; Data Analysis; Environmental Impact; Sustainability |
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