03108ntm a22005177i 4500 000715095 CZ-PrVSE 20240615111821.0 m d cr n|||||||||| 240615s2024 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Kánovics, Jakub ISIS:172210 dis Leveraging Artificial Intelligence (AI) for the Enhancement of Business Processes Performance eng Leveraging Artificial Intelligence (Ai) for the Enhancement of Business Processes Performance / Jakub Kánovics 2024 ?? stran : digital, PDF soubor Vedoucí práce: Miroslav Špaček Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta podnikohospodářská, 2024 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2024 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. Způsob přístupu: Internet management [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas sales analytics artifical intelligence business process performance customer experience Špaček, Miroslav, 1954- vse2013764330 ths Rejthar, Stanislav opn Vysoká škola ekonomická v Praze. Podnikohospodářská fakulta kn20010709402 dgg https://insis.vse.cz/zp/86711/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/86711 Hlavní práce https://insis.vse.cz/zp/86711/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/86711/posudek/oponent/83545 Oponentura https://insis.vse.cz/zp/86711/podrobnosti dc:identifier NEPOSILAT VSKP vse86711 240611 86711