Artificial Intelligence in Business Decision-Making -A Quantitative Analysis of AI Ran Optimization Models in Financial Forecasting and Strategic Planning

Abstract

Artificial Intelligence (AI) is revolutionizing business decision-making, particularly in financial forecasting, risk assessment, and strategic planning. This research study provides an in depth quantitative and qualitative analysis of AI ran optimization models in the corporate sector. Through case studies of Google, Tesla, and leading hedge funds, the study evaluates the impact of AI in financial decision-making, supply chain management, and predictive analytics. Furthermore, the research examines ethical concerns surrounding AI bias, regulatory hurdles, and the shift in traditional business roles. The study concludes with strategic recommendations for businesses integrating AI and a discussion of the evolving landscape of AI in decision-making. This study is written and researched by Sonny Marmon, a high school researcher from Champlin Park High School, demonstrating the ability of high school students to engage in complex business and AI ran research.

Keywords: Artificial Intelligence, Business Decision-Making, AI Optimization Models, Financial Forecasting, Strategic Planning, Risk Assessment, AI in Corporate Strategy, Predictive Analytics, AI Bias and Ethics, Regulatory Challenges

JEL Classification: C45, C61, G17, L86, M15, O33, K24