Využití generativní umělé inteligence pro optimalizaci řízení rizik ve společnosti

The diploma thesis focuses on the use of generative artificial intelligence for optimizing risk management in a company. The main objective of the thesis is to design and implement an application that streamlines work with Microsoft Power BI reports and supports decision-making processes in the field of risk management. To achieve the main objective, the thesis is divided into several partial sections. The first part of the thesis deals with the analysis of risk management, its importance in organizations, risk management methods, and tools used in practice. The second part focuses on artificial intelligence, especially generative artificial intelligence and its possible use in risk management. Based on theoretical findings and an analysis of the company’s needs, scenarios for using generative AI in the evaluation of Power BI reports were subsequently proposed. The thesis also focuses on the design and implementation of an application that enables the processing of Power BI reports and the generation of their textual summaries using Azure OpenAI. The output of the thesis is a functional prototype of an application that can serve as a supporting tool for faster orientation in reports, identification of significant values, and support for decision-making in the field of risk management.