Evaluation of Cognitive Computing and Algorithms in Engineering

Modern engineering practice includes complex decision-making processes that require analyzing huge data and taking into account many factors. Cognitive computing is a way of analyzing information that can enhance the objectivity and accuracy of decision-making. The article discusses the use of cognitive computing in data analysis, revealing hidden patterns, forecasting and prediction, as well as determining optimal solutions in engineering practice. Particular attention is paid to cognitive decision-making algorithms that take into account many factors and adapt to a changing environment, contributing to the objectivity of decisions. To visualize and evaluate the contribution of cognitive computing to improving the efficiency of engineering projects, the article presents graphs and diagrams demonstrating various aspects and advantages of their application. Special attention is paid to the analysis of the role of cognitive computing in forecasting and prediction, which contributes to the optimization of project cycles and improvement of results.