NLP Technologies and AI for business: applications and methods utilized to reduce costs and workflow improvement
| Název práce: | NLP Technologies and AI for business: applications and methods utilized to reduce costs and workflow improvement |
|---|---|
| Autor(ka) práce: | Staroverova, Ekaterina |
| Typ práce: | Diploma thesis |
| Vedoucí práce: | Potančok, Martin |
| Oponenti práce: | Zimmermann, Pavel |
| Jazyk práce: | English |
| Abstrakt: | The aim of the thesis is to select and implement NLP technologies, AI frameworks and applications that are able to influence and benefit business purposes and processes for certain cases (such as the proposal for HR, Procurement, Sales divisions) based on investigation and revealing of processes flows in existed workflows and business organization. |
| Klíčová slova: | NLP; AI; Chatbot; Mailbot; ML; BERT; Azure ML |
| Název práce: | NLP Technologies and AI for business: applications and methods utilized to reduce costs and workflow improvement |
|---|---|
| Autor(ka) práce: | Staroverova, Ekaterina |
| Typ práce: | Diplomová práce |
| Vedoucí práce: | Potančok, Martin |
| Oponenti práce: | Zimmermann, Pavel |
| Jazyk práce: | English |
| Abstrakt: | The aim of the thesis is to select and implement NLP technologies, AI frameworks and applications that are able to influence and benefit business purposes and processes for certain cases (such as the proposal for HR, Procurement, Sales divisions) based on investigation and revealing of processes flows in existed workflows and business organization. |
| Klíčová slova: | AI; Chatbot; NLP; Mailbot; ML; BERT; Azure ML |
Informace o studiu
| Studijní program / obor: | Aplikovaná informatika/Information Systems Management |
|---|---|
| Typ studijního programu: | Magisterský studijní program |
| Přidělovaná hodnost: | Ing. |
| Instituce přidělující hodnost: | Vysoká škola ekonomická v Praze |
| Fakulta: | Fakulta informatiky a statistiky |
| Katedra: | Katedra informačních technologií |
Informace o odevzdání a obhajobě
| Datum zadání práce: | 12. 8. 2020 |
|---|---|
| Datum podání práce: | 19. 6. 2021 |
| Datum obhajoby: | 25. 8. 2021 |
| Identifikátor v systému InSIS: | https://insis.vse.cz/zp/73794/podrobnosti |