Leveraging Artificial Intelligence for Data-Driven Decision Making

View at publisher
Authors: Vishal Kumar Jain, Archan Mitra
Cited by: 0
References: 11

Abstract

The transformative potential of Artificial Intelligence (AI) in data-driven decision-making is reshaping organizational strategies and competitive landscapes. This study explores the strategic integration of AI technologies to enhance decision-making efficiency, improve accuracy, and sustain competitive advantage across industries. By leveraging tools such as machine learning, natural language processing, and predictive analytics, AI empowers organizations to analyze complex datasets and predict market dynamics with unprecedented precision. The research adopts a mixed-methods approach, combining qualitative insights from industry leaders with quantitative data analysis, revealing how AI impacts strategic planning, operational efficiencies, and market positioning. Initial findings underscore the challenges in aligning AI with existing workflows, yet highlight its critical role in driving innovation, agility, and customer-centric strategies. Recommendations emphasize fostering a culture of innovation, aligning AI with strategic goals, and investing in scalable solutions.

Fields of Study & Subjects

Big Data and Business Intelligence Digital Transformation in Industry Ethics and Social Impacts of AI

Publication details

Journal / source
IGI Global eBooks
Pages
237–250
Publication date
9 January 2026
Language
NG
Document type
Book chapter