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                <text>This book discusses three advanced topics in modern economics and management: causal inference, financial model computing and decisions, and financial risk management. The first part of the book introduces the counterfactual framework for causal inference in observational studies and defines important causal parameters under both discrete and continuous treatments. The second part focuses on the computations associated with the financial model and its consequent decision-making. The third part studies the nested simulation method for portfolio risk measurement and introduces the neural network methodology for market risk forecasting. &#13;
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                <text>This monograph summarizes and analyzes the current state of scientific research in the fields of information technology, mathematical modeling, automation of production processes, blockchain architectures, and artificial intelligence. It considers issues of system optimization, the use of ontologies in architectural modeling, process control, the development of new visualization methods, and the use of large language models for automatic data processing.&#13;
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The monograph will be useful for both specialists and employees of companies working in the IT field, as well as teachers, masters, students, and postgraduates of higher educational institutions, as well as everyone interested in modern trends in the field of digital technology.&#13;
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The monograph was prepared based on the results of the XVII International Scientific and Practical Conference “Information Technology and Automation — 2024," held in October 2024 at the Odessa National Technological University.</text>
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