The next step for Artificial Intelligence in a globally connected economy

Author:

Bodislav Dumitru Alexandru,Bran Florina,Gombos Carol Cristina,Mair Amza

Abstract

Research background: This research paper represents an overview of what artificial intelligence is, what are its roots, and what is the next big thing regarding the domain. In this paper we try to highlight how the domain is growing and what is the difference between the ideology, the business factor and the human factor. We try to create a big picture on the entire phenomenon by creating a parallel between machine learning, artificial intelligence and the influence of technological breakthrough from a hardware perspective. Purpose of the article: The paper is built as a tool in understanding technology, globalization and the pathway to success and scientific glory for what can be seen as the industry of artificial intelligence. The tools presented in the research have the purpose to create an easier path to how we can develop this domain by accelerating theoretical processing and business analytics that come together to form the next level of machine learning/artificial intelligence; research and development, everything being filtered from an economic point of view. Methods: The used research method is based on fundamental analysis of the artificial intelligence domain and its purpose in the complexity of globalization and economic development. Findings & Value added: The paper tries to offer a tool for building a better understanding of the next decade in the domain of artificial intelligence.

Publisher

EDP Sciences

Reference21 articles.

1. Androniceanu A., & Burlacu S. (2017). Intelligent system for assessment and grading based on docimologic tests. eLearning & Software for Education, 2.

2. Bodislav D. A. (2015). The Synergy between Big Data – Business Intelligence. The Solution for Creating Relevant Indicators for an Emerging Economy, ASE Publishing.

3. Bodislav D. A. (2016). Business intelligence for decision making in economics, chapter in Dunis C., Middleton P., Karathanasopolous A., Theofilatos K. & Bodislav D. A. Artificial Intelligence in Financial Markets. New Developments in Quantitative Trading and Investment, Palgrave Macmillan.

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