20.500.12556/DKUM-95888 Uporaba generativne umetne inteligence za optimizacijo projektnega managementa The use of generative artificial inteligence for project management optimization Delo obravnava uporabo generativne umetne inteligence za optimizacijo projektnega managementa. Najprej povzema temeljne koncepte projektnega vodenja, življenjski cikel in dejavnike uspešnosti, nato sistematično predstavi ključna področja umetne inteligence ter posebnosti generativne umetne inteligence. Osrednji del pokaže, kako generativna umetna inteligenca avtomatizira rutinska opravila (načrtovanje, poročanje, razporejanje virov), izboljšuje napovedovanje tveganj in podporo odločanju ter pospešuje komunikacijo in sodelovanje ekip (npr. z virtualnimi asistenti). Posebna pozornost je namenjena varnosti podatkov, upravljanju dostopov in etičnim vidikom. Praktični del ilustrira rabo orodij (ChatGPT, Microsoft Copilot) pri administrativnih in vodstvenih opravilih v okoljih Microsoft 365 (Excel, Word, Outlook, PowerPoint, Teams), povzetkih, prevodih, izboru dobaviteljev, brainstormingu in poglobljenem raziskovanju. Sklepi poudarjajo, da lahko generativna umetna inteligenca merljivo skrajša čas izvedbe, zviša kakovost odločitev in okrepi zadovoljstvo deležnikov, če organizacije hkrati vlagajo v kakovost podatkov, upravljanje tveganj ter usposabljanje zaposlenih. The thesis examines the use of generative artificial intelligence to optimise project management. It first summarises the fundamental concepts of project management, the life cycle and success factors, and then systematically presents the key areas of artificial intelligence along with the specific features of generative artificial intelligence. The central part demonstrates how generative artificial intelligence automates routine tasks (planning, reporting, resource allocation), improves risk prediction and decision-making support, and accelerates communication and team collaboration (e.g., through virtual assistants). Particular attention is devoted to data security, access management, and ethical aspects. The practical part illustrates the use of tools (ChatGPT, Microsoft Copilot) for administrative and managerial tasks within Microsoft 365 environments (Excel, Word, Outlook, PowerPoint, Teams), summaries, translations, supplier selection, brainstorming, and in-depth research. The conclusions highlight that generative artificial intelligence can measurably shorten implementation time, improve decision quality, and enhance stakeholder satisfaction if organisations simultaneously invest in data quality, risk management, and employee training. generativna umetna inteligenca projektni management avtomatizacija Microsoft Copilot ChatGPT. generative artificial intelligence project management automation Microsoft Copilot ChatGPT. true true false N. Plešivčnik] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2025-11-05 12:16:23 2025-12-15 13:17:00 2025-12-16 03:09:11 0000-00-00 00:00:00 2025 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:005.8 261447683 VS_Plesivcnik_Nejc_2025.pdf VS_Plesivcnik_Nejc_2025.pdf 1 0B369B7B769267BB1F5022BB61DC4F23 0718fafd4df7c104c2a806e2e1a03d261475f74033ef70415572196bdba5a987 f4f8cfc2-d1c3-11f0-9b95-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=201170 Ekonomsko-poslovna fakulteta 0 0 0