Primjena umjetne inteligencije u fintech sektoru - IBM Watson

master's thesis

• Title (english): Application of artificial intelligence in the fintech sector - IBM Watson
• Author: Matej Kralj
• Mentor: Ivan Strugar (mentor); MBZ: 171803
• Committee member: Jovana Zoroja (predsjednik povjerenstva)
• Committee member: Božidar Jaković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2020-09-22, 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: umjetna inteligencija; financijske tehnologije; IBM Watson; robosavjetnici; automatsko trgovanje
• Keywords (english): artificial intelligence; Fintech; IBM Watson; roboadvisors; automated trading
• Language: croatian
• URN:NBN: urn:nbn:hr:148:141628
• Study programme: Title: Economics; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-09-24 12:15:10