Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint

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.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-02-07
DOI
https://doi.org/10.1051/e3sconf/202561405005/pdf
Primary Topic
Heat Transfer and Mathematical Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint

Aizat Kydyrbekova, Sandugash Mombekova, Elmira Mussirepova, Sabira Akhmetova et al.
Springer Link (Chiba Institute of Technology)
Heat Transfer and Mathematical Modeling
article

Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint

Aizat Kydyrbekova, Sandugash Mombekova, Elmira Mussirepova, Sabira Akhmetova, Guldana Shaimerdenova, Sandugash Alisheva, Nursaule Torebay
article en

Abstract

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.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Heat Transfer and Mathematical Modeling
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Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint — Aizat Kydyrbekova, Sandugash Mombekova, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS