From Data to Decisions: The Role of Intelligent Systems in Engineering Practices
Keywords:
Intelligent Systems, Engineering Practices, Machine Learning, Artificial Intelligence, Data Analytics, Decision Making, Predictive Maintenance, System Optimization, Engineering Innovation, Sustainability.Abstract
In modern engineering practices, the intelligent systems are playing the crucial roles of transforming raw data into viable insights that carry great influences to decision-making activities. These systems are the ones, which use the cutting-edge algorithms of machine learning, artificial intelligence, and data analytics so that the engineers would be able to optimize the designs, improve the operational efficiency, and even anticipate the failure of the system ahead of time. This paper is a combination of intelligent systems in various engineering fields such as civil, mechanical, and electrical-engineering. We are interested in ways of using these systems for a real-time processing of data, predictive maintenance and system optimisation. The methodology will be based on the analysis of case studies belonging to different engineering domains in order to offer the examples of the practical application of the intelligent systems and the advantages received in this regard. The results reveal that besides increasing the quality of decisions, there are increased levels of innovation and sustainability in engineering work. The study concludes with the trends of the future regarding incorporating the intelligent systems into the engineering workflows.
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