Exploiting the Potential of Artificial Intelligence in Decision Support Systems

Authors

  • Karu Lal Integration Engineer, Ohio National Financial Services, USA
  • Venkata Koteswara Rao Ballamudi Sr. Software Engineer, High Quartile LLC, Chesterfield, USA
  • Upendar Rao Thaduri Web Developer, Amalgamated Bank, New York, USA

DOI:

https://doi.org/10.18034/abcjar.v7i2.695

Keywords:

Decision Support System (DSS), Artificial Intelligence, Intelligent Decision Support Systems (IDSS), Natural Language Processing (NLP)

Abstract

For several years now, the concept of AI being able to quickly and extensively replace expert workers at massive scales has been on the cusp of becoming a reality. Although AI has shown to be an effective tool for many activities, humans still have a significant advantage in many other areas. Companies are becoming more conscious of this fact. As a result, they are restructuring their business processes to provide their experts and customers with AI support in a more targeted manner. This study aims to present a high-quality review that covers unique, cutting-edge technologies and methodologies connected with the scientific design, development, and implementation of AI-DSS employing the most recent developments in AI and multi-criteria decision-making. The review will be presented in the form of a report. This article examines whether or not the growth of so-called artificial intelligence-driven decision support systems, also known as AI-DSS, threatens decision-making processes and, if so, how that threat manifests itself. 

 

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Published

2018-12-31

Issue

Vol. 7 No. 2 (2018): July-December

Section

Articles

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Copyright (c) 2018 Karu Lal, Venkata Koteswara Rao Ballamudi, Upendar Rao Thaduri

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How to Cite

Lal, K., Ballamudi, V. K. R., & Thaduri, U. R. (2018). Exploiting the Potential of Artificial Intelligence in Decision Support Systems. ABC Journal of Advanced Research, 7(2), 131-138. https://doi.org/10.18034/abcjar.v7i2.695

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