The implementation of artificial intelligence and its future potential

undergraduate thesis

• Title (croatian): Implementacija umjetne inteligencije i njezin budući potencijal
• Author: Fran Škavić
• Mentor: Mario Spremić (mentor); MBZ: 233591
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2019-09-03, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Firstly, in the paper, I explored the history of artificial intelligence (AI) thought spanning from the early conceptual beginnings, then through early examples of primitive AI applications and all the way to recent feats in this field. Next, I analyzed types of AI, both present and future, encompassing two wide schools of thought; after which I detailed the pathways to achieving practical implementation of AI through machine learning (ML) and deep learning (DL) as well as a brief history of TensorFlow. The following chapters focused on analyzing case studies of AI application in the fields of banking and finance from the financial sector, and transportation in general, with the ensuing critical analyses. The final chapter is concerned with future implementation of AI.

• Keywords: artificial intelligence; AI; TensorFlow; artificial neural networks; ANN; artificial narrow intelligence; ANI; artificial general intelligence; AGI; artificial superintelligence; ASI; machine learning; ML; deep learning; DL; chatbot
• Language: english
• URN:NBN: urn:nbn:hr:148:308959
• Study programme: Title: Business Economics in English; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica(baccalaureus/ baccalaurea) ekonomije (sveučilišni/a prvostupnik/ prvostupnica(baccalaureus/ baccalaurea) ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2019-09-03 10:49:53