ARTIFICIAL INTELLIGENCE AND DATA SCIENCE IN BUSINESS DECISION-MAKING

Dimensions

Narmadha, A and Priyadharshini, R (2025) ARTIFICIAL INTELLIGENCE AND DATA SCIENCE IN BUSINESS DECISION-MAKING. In: CUTTING-EDGE RESEARCH IN COMMERCE AND MANAGEMENT: A TECHNOLOGY PERSPECTIVE. Shanlax Publications, pp. 45-49. ISBN 978-93-6163-650-9

Text
Book - Chapter.pdf - Published Version
Download (6MB)

Abstract

Al and Data Science are revolutionizing business decision-making by processing large data volumes, generating predictive insights, and automating complex tasks. They enhance decision accuracy in marketing, finance, supply chain management, and human resources. This chapter reviews Al-driven decision support
systems, predictive analytics, and data visualization techniques, discussing real-world examples and challenges
like algorithmic bias, data privacy concerns, and explainable AI. Future trends include human-AI collaboration
models, AI for sustainability initiatives, and ethical frameworks.

Item Type:	Book Section
Subjects:	Management Studies > Human Resource Management
Domains:	Management Studies
Depositing User:	Mr IR Admin
Date Deposited:	11 May 2026 09:12
Last Modified:	25 May 2026 07:09
URI:	https://ir.vistas.ac.in/id/eprint/16960

Actions (login required)

: View Item