Leveraging Artificial Intelligence (Ai) for the Enhancement of Business Processes Performance
Thesis title: | Leveraging Artificial Intelligence (Ai) for the Enhancement of Business Processes Performance |
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Author: | Kánovics, Jakub |
Thesis type: | Diploma thesis |
Supervisor: | Špaček, Miroslav |
Opponents: | Rejthar, Stanislav |
Thesis language: | English |
Abstract: | The master thesis develops and defines a fundamentally improved business process of face-to-face communication analytics with the utilization of AI, ML, and NLP as means of improving the business process performance. To achieve so, from the theoretical point of view, the paper delves into various aspects of artificial intelligence through an extensive literature review. On the other hand, from the practical point of view, the paper analyzes numerous business processes utilizing AI-driven text and call analytics using business process modelling. Additionally, the paper provides practical insights into AI-driven analytics for driving sales and customer experience through a qualitative study consisting of semi-structured interviews and case studies. By the end of the master thesis, readers will have a comprehensive understanding of the AI, ML and NLP technology, and text and call analytics, with the ultimate goal of proposing author’s solution of a fundamentally improved business process of face-to-face communication analytics utilizing AI technology. |
Keywords: | sales; analytics; artifical intelligence; business process performance; customer experience |
Thesis title: | Leveraging Artificial Intelligence (AI) for the Enhancement of Business Processes Performance |
---|---|
Author: | Kánovics, Jakub |
Thesis type: | Diplomová práce |
Supervisor: | Špaček, Miroslav |
Opponents: | Rejthar, Stanislav |
Thesis language: | English |
Abstract: | The master thesis develops and defines a fundamentally improved business process of face-to-face communication analytics with the utilization of AI, ML, and NLP as means of improving the business process performance. To achieve so, from the theoretical point of view, the paper delves into various aspects of artificial intelligence through an extensive literature review. On the other hand, from the practical point of view, the paper analyzes numerous business processes utilizing AI-driven text and call analytics using business process modelling. Additionally, the paper provides practical insights into AI-driven analytics for driving sales and customer experience through a qualitative study consisting of semi-structured interviews and case studies. By the end of the master thesis, readers will have a comprehensive understanding of the AI, ML and NLP technology, and text and call analytics, with the ultimate goal of proposing author’s solution of a fundamentally improved business process of face-to-face communication analytics utilizing AI technology. |
Keywords: | business process performance; customer experience; artifical intelligence; analytics; sales |
Information about study
Study programme: | Management |
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Type of study programme: | Magisterský studijní program |
Assigned degree: | Ing. |
Institutions assigning academic degree: | Vysoká škola ekonomická v Praze |
Faculty: | Faculty of Business Administration |
Department: | Department of Entrepreneurship |
Information on submission and defense
Date of assignment: | 28. 11. 2023 |
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Date of submission: | 15. 5. 2024 |
Date of defense: | 10. 6. 2024 |
Identifier in the InSIS system: | https://insis.vse.cz/zp/86711/podrobnosti |