Issue |
E3S Web Conf.
Volume 614, 2025
International Conference on Agritech and Water Management (ICAW 2024)
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Article Number | 05005 | |
Number of page(s) | 9 | |
Section | Application of IT Technologies in Ecology and Natural Resource Management | |
DOI | https://doi.org/10.1051/e3sconf/202561405005 | |
Published online | 07 February 2025 |
Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint
1 M. Auyezov South Kazakhstan University, Shymkent, Kazakhstan
2 Miras University, Shymkent, Kazakhstan
* Corresponding author: daneldanel@bk.ru
Artificial intelligence is the ability of artificial intelligence to perform actions that were previously only accessible to the human brain. Its algorithms work with data on the basis that tools perform tasks and solve named tasks. Each time, pioneering systems become more efficient by analyzing parameters. The creation and development of artificial intelligence (AI) is a complex and multi-sided process based on several factors. Artificial intelligence has great potential to solve problems that human intelligence needs. This could include analyzing a lot of data, making the best use of manufacturing processes, weather forecasting, developing new drugs, and much more. AI can significantly improve the efficiency and productivity of various fields of activity, such as industry, transportation, health care, education, and industry. It can also lead to lower costs, fewer errors, and better quality of goods and services. Today, scientists study with great interest the problems in creating artificial intelligence. According to the researchers, the development of artificial intelligence allows a person to focus on the creative and complex aspects of life and helps to free a person from everyday and monotonous activities. On the other hand, there is no concern about possible negative effects such as loss of jobs, loss of control over technology, and serious issues related to the development of autonomous systems.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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