NLP Technologies and AI for business: applications and methods utilized to reduce costs and workflow improvement – Ekaterina Staroverova
Ekaterina Staroverova
Master's thesis
NLP Technologies and AI for business: applications and methods utilized to reduce costs and workflow improvement
NLP Technologies and AI for business: applications and methods utilized to reduce costs and workflow improvement
Abstract:
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.Abstract:
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.
Language used: English
Date on which the thesis was submitted / produced: 19. 6. 2021
Identifier:
https://vskp.vse.cz/eid/84397
Thesis defence
- Date of defence: 25. 8. 2021
- Supervisor: Martin Potančok
- Reader: Pavel Zimmermann
Citation record
ISO 690-compliant citation record:
STAROVEROVA, Ekaterina. \textit{NLP Technologies and AI for business: applications and methods utilized to reduce costs and workflow improvement}. Online. Master's thesis. Praha: University of Economics, Prague. 2021. Available from: https://theses.cz/id/surbeo/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- autentizovaným zaměstnancům ze stejné školy/fakulty
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Vysoká škola ekonomická v Prazehttps://vskp.vse.cz/eid/84397
Vysoká škola ekonomická v Praze
Master programme / field:
Aplikovaná informatika / Information Systems Management