Leveraging Artificial Intelligence (AI) for the Enhancement of Business Processes Performance
Název práce: | Leveraging Artificial Intelligence (Ai) for the Enhancement of Business Processes Performance |
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Autor(ka) práce: | Kánovics, Jakub |
Typ práce: | Diploma thesis |
Vedoucí práce: | Špaček, Miroslav |
Oponenti práce: | Rejthar, Stanislav |
Jazyk práce: | English |
Abstrakt: | 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. |
Klíčová slova: | sales; analytics; artifical intelligence; business process performance; customer experience |
Název práce: | Leveraging Artificial Intelligence (AI) for the Enhancement of Business Processes Performance |
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Autor(ka) práce: | Kánovics, Jakub |
Typ práce: | Diplomová práce |
Vedoucí práce: | Špaček, Miroslav |
Oponenti práce: | Rejthar, Stanislav |
Jazyk práce: | English |
Abstrakt: | 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. |
Klíčová slova: | business process performance; customer experience; artifical intelligence; analytics; sales |
Informace o studiu
Studijní program / obor: | Management |
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Typ studijního programu: | Magisterský studijní program |
Přidělovaná hodnost: | Ing. |
Instituce přidělující hodnost: | Vysoká škola ekonomická v Praze |
Fakulta: | Fakulta podnikohospodářská |
Katedra: | Katedra podnikání |
Informace o odevzdání a obhajobě
Datum zadání práce: | 28. 11. 2023 |
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Datum podání práce: | 15. 5. 2024 |
Datum obhajoby: | 10. 6. 2024 |
Identifikátor v systému InSIS: | https://insis.vse.cz/zp/86711/podrobnosti |