Please use this identifier to cite or link to this item:
Title: Self-coding artificial intelligence and business impact.
Authors: Pakorn Suthiprasert
Keywords: Entrepreneurship Management
Artificial intelligence
Machine Learning
Issue Date: 13-Nov-2018
Publisher: มหาวิทยาลัยมหิดล
Citation: 2017
Abstract: This research is setup to explore and understand concepts and algorithms that underline the creation of artificial intelligence that can create programs or artificial intelligence by itself. Moreover, the impact of the self-coding artificial intelligence that would occur to any particular business sector from its application in Thailand. The research uses semi-structure interview as the mean to qualitatively collect data. The result shows that currently there are two main concepts with different algorithms towards the creation of artificial intelligence that can write programs and create artificial intelligence models. Additionally, in IT business sector, application developers will face a challenge when the self-coding artificial intelligence is widely adopted by many companies.
Other Identifiers: TP EM.041 2017
Appears in Collections:Thematic Paper

Files in This Item:
File Description SizeFormat 
TP EM.041 2017.pdf1.32 MBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.