International Journal of Transformations in Business Management

(By Aryavart International University, India)

International Peer Reviewed (Refereed), Open Access Research Journal

E-ISSN : 2231-6868 | P-ISSN : 2454-468X

SJIF 2020: 6.336 |SJIF 2021 : 6.109 | ICV 2020=66.47

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Abstract

Vol: 14, Issue: 1 2024

Page: 94-100

AI Driven Decision Support Systems for Business Operations

Parth Gupta

Received Date: 2024-01-08

Accepted Date: 2024-02-28

Published Date: 2024-03-21

http://doi.org/10.37648/ijtbm.v14i01.012

In the era of digital transformation, businesses are increasingly relying on intelligent systems to enhance operational efficiency and strategic decision-making. Artificial Intelligence-driven Decision Support Systems (AI DSS) have emerged as a pivotal innovation, offering advanced capabilities such as predictive analytics, real-time optimization, and adaptive learning. This paper presents a comprehensive study on the development, implementation, and impact of AI DSS across various business functions. It explores the integration of machine learning (ML), deep learning (DL), natural language processing (NLP), and explainable AI (XAI) in decision support environments, emphasizing how these technologies enable data-driven and agile decision-making.

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References

  • Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., ... & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115. https://doi.org/10.1016/j.inffus.2019.12.012

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