Name: Lakshmanagowda.B.H & Guruprasad
Country: India

Year: 2026
Volume: Volume-16, Issue-1 (Special Issue: March 2026)
Page Number: 271-277
DOI: https://doi.org/10.5281/zenodo.19605790

ABSTRACT
Artificial Intelligence (AI) and Data Analytics have fundamentally transformed managerial decision- making by shifting it from experience- based intuition to evidence- based, predictive and prescriptive intelligence. Managers today rely on algorithms, machine learning models and real-time analytics to make faster more accurate and strategically aligned decision. AI in business management can support external financial strategies, including risk assessment, portfolio management, and investment decision-making. Ultimately offers a deeper glimpse into fluctuations in the market, enabling companies to make the most of their investments while minimizing risks, lowering human errors and ensuring resource allocation. That has led the innovations in traditional financial decision to be a retrospective substitute analysis for proactively data driven strategy. Nevertheless, businesses nowadays have access to AI driven tools like machine learning algorithms and robotic process automatio