Artificial intelligence methods for decision-making support thesis

Bc. Siddharth Upadhyay

Master's thesis

Abstract:

The thesis at hand delves into the profound realm of Artificial Intelligence (AI) and its pivotal role in enhancing decision-making processes. The study revolves around several core objectives. First and foremost, it aims to comprehensively scrutinize the intricate workings of AI within the context of organizational decision-making. This involves an in-depth analysis of how AI processes are seamlessly integrated into the decision-making framework of various organizations. Furthermore, the research endeavours to elucidate the multifaceted role played by Artificial Intelligence in shaping decision-making. This entails a meticulous exploration of AI's contribution to the decision-making process, elucidating the extent to which it influences and augments this critical aspect of organizational functioning. Additionally, the study seeks to discern the symbiotic relationship between organizational structures and the utilization of Artificial Intelligence for decision-making. It delves into how these structures are tailored to synergize with AI, thereby bolstering the efficiency and effectiveness of the decision-making process. Moreover, the research undertakes the task of evaluating how AI serves as a potent tool for surmounting the challenges encountered by decision-makers in knowledge-intensive firms. It sheds light on the transformative impact of AI in mitigating existing challenges while also shedding light on emerging challenges that accompany its integration into the decision-making process.

Keywords

Artificial Intelligence, AI performance assessment, Organizational DecisionMaking Support, Quantitative Approach, Accuracy, Efficiency, Interpretability, Robustness

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 7. 12. 2023

Obhajoba závěrečné práce

• Obhajoba proběhla 8. 2. 2024
• Vedúci: doc. Ing. Jan Tyrychtr, Ph.D.
• Oponent: Richard Vágner, externi

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme / odbor:
Systems Engineering and Informatics / Informatics