Enhancing Business Expansion through the Integration of Artificial Intelligence and Business Intelligence

Year : 2024 | Volume :01 | Issue : 02 | Page : 27-33
By

Gyandeep Yadav

Priyanka Yadav

  1. Research Scholar Department of Computer Applications, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai Maharashtra India
  2. Research Scholar Department of Computer Applications, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai Maharashtra India

Abstract

Business intelligence (BI) and artificially intelligent technology (AI) give businesses a competitive edge and significantly boost growth. AI emulates human cognitive processes, learns from data, and makes intelligent decisions, while BI analyzes data for strategic insights. This study explores the synergies of integrating AI and BI, revealing opportunities for business expansion. AI algorithms analyze extensive datasets, enhancing predictions for customer behavior. The reciprocal relationship automates processes, elevates decision-making, and enables proactive strategies. The paper highlights challenges in implementation, including data quality, ethical concerns, and expertise. Capitalizing on the symbiosis between AI and BI unlocks data potential for actionable insights in today’s dynamic landscape.

Keywords: Artificial Intelligence; Business Intelligence, Communication technology, Graphics Interface, Analytics

[This article belongs to International Journal of Electrical and Communication Engineering Technology(ijecet)]

How to cite this article: Gyandeep Yadav, Priyanka Yadav. Enhancing Business Expansion through the Integration of Artificial Intelligence and Business Intelligence. International Journal of Electrical and Communication Engineering Technology. 2024; 01(02):27-33.
How to cite this URL: Gyandeep Yadav, Priyanka Yadav. Enhancing Business Expansion through the Integration of Artificial Intelligence and Business Intelligence. International Journal of Electrical and Communication Engineering Technology. 2024; 01(02):27-33. Available from: https://journals.stmjournals.com/ijecet/article=2024/view=145177


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Regular Issue Subscription Review Article
Volume 01
Issue 02
Received January 24, 2024
Accepted April 16, 2024
Published May 6, 2024
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