prikaz prve stranice dokumenta Primjena umjetne inteligencije u fintech sektoru - IBM Watson
  Download
PDF 2.16 MB
master's thesis
Primjena umjetne inteligencije u fintech sektoru - IBM Watson
Zagreb: University of Zagreb, Faculty of Economics and Business, 2020. urn:nbn:hr:148:141628
Kralj, Matej
University of Zagreb
Faculty of Economics and Business
Department of Informatics

Institutional repository: REPEFZG

Cite this document

Kralj, M. (2020). Primjena umjetne inteligencije u fintech sektoru - IBM Watson (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:141628

Kralj, Matej. "Primjena umjetne inteligencije u fintech sektoru - IBM Watson." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2020. https://urn.nsk.hr/urn:nbn:hr:148:141628

Kralj, Matej. "Primjena umjetne inteligencije u fintech sektoru - IBM Watson." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2020. https://urn.nsk.hr/urn:nbn:hr:148:141628

Kralj, M. (2020). 'Primjena umjetne inteligencije u fintech sektoru - IBM Watson', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 09 November 2024, https://urn.nsk.hr/urn:nbn:hr:148:141628

Kralj M. Primjena umjetne inteligencije u fintech sektoru - IBM Watson [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2020 [cited 2024 November 09] Available at: https://urn.nsk.hr/urn:nbn:hr:148:141628

M. Kralj, "Primjena umjetne inteligencije u fintech sektoru - IBM Watson", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:148:141628

Metadata
TitlePrimjena umjetne inteligencije u fintech sektoru - IBM Watson
Title (english)Application of artificial intelligence in the fintech sector - IBM Watson
AuthorMatej Kralj
MentorIvan Strugar (mentor)
MBZ: 171803
Committee memberJovana Zoroja (predsjednik povjerenstva)
Committee memberBožidar Jaković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Economics and Business
(Department of Informatics)
Zagreb
Defense date and country2020-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
Analiza i uporaba softwarea koji primjenjuju umjetnu inteligenciju u fintech sektoru. Želi se prikazati i objasniti rad softwarea koji su trenutno najveći trendovi u fintech industriji poput robosavjetnika, kripto valuta ili „botova“ za autotrgovanje na „Forexu“. U ovom diplomskom radu obradit će se i „IBM Watson“, trenutno najbolji software potpomognut umjetnom inteligencijom za obradu velikih baza podataka. Također, „Watson“ nudi mnogo više mogućnosti od same obrade zadataka, a neke od njih su „Watson Machine Learning“ ili „AutoAI Experiment“ pomoću kojih se može u potpunosti automatizirati pristup izgradnji modela klasifikacije ili regresijskog modela. Pomoću „Watson Natural Language Classifier Modela“ može se prevađati jezik na drugi jezik, govor u tekst ili tekst u govor. Kasnije će se neke od navedenih usluga „IBM Watsona“ testirati i prikazati rezultati testiranja.
Abstract (english)
Analysis and use of softwares that apply artificial intelligence in the Fintech sector. The main goal is to show and explain the work of software that are currently the biggest trends in the Fintech industry such as roboadvisors, cryptocurrencies or bots for auto trading on "Forex". This thesis will also cover "IBM Watson" software, currently the best software supported by artificial intelligence for processing large databases. Also, „Watson“ offers many more options and services and some of them are „Watson Machine Learning“ or „AutoAI Experiment“, which can be used to fully automate the approach to building a classification or regression model. The „Watson Natural Language Classifier Model“ can be used to translate a language into another language, speech into text or text into speech. Later, some of the listed „IBM Watson“ services will be tested and test results will be displayed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:148:141628
Study programmeTitle: Economics
Study programme type: university
Study level: integrated undergraduate and graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) icon
Created on2020-09-24 12:15:10