Leveraging Artificial Intelligence (AI) for the Enhancement of Business Processes Performance

Název práce: Leveraging Artificial Intelligence (Ai) for the Enhancement of Business Processes Performance
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
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
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
Datum podání práce: 15. 5. 2024
Datum obhajoby: 10. 6. 2024
Identifikátor v systému InSIS: https://insis.vse.cz/zp/86711/podrobnosti

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