The Impact of Artificial Intelligence on big Data Analytics in Facilitating Data-Driven and Strategic Decision-Making in Financial Markets

The rapid advancements in Artificial Intelligence (AI) and Big Data Analytics have significantly transformed financial markets, enabling more precise, data-driven, and strategic decision-making. This study explores the profound impact of AI-driven analytics in financial decision-making, focusing on how machine learning algorithms, predictive analytics, and automation enhance market efficiency, risk assessment, and investment strategies. The research highlights how AI-powered Big Data Analytics processes vast amounts of structured and unstructured financial data to identify patterns, trends, and anomalies that influence market movements. It further examines how financial institutions leverage AI for fraud detection, sentiment analysis, and algorithmic trading, leading to more informed and efficient investment decisions. Through a survey-based approach, this study collects data from financial professionals, analysts, and investors to evaluate their perspectives on AI’s role in improving data accuracy, reducing uncertainty, and optimizing financial strategies. The findings provide valuable insights into how AI-driven analytics contributes to minimizing risks, enhancing forecasting accuracy, and supporting regulatory compliance in financial markets. The study concludes that the integration of AI in Big Data Analytics is revolutionizing financial decision-making by improving efficiency, reducing human biases, and enabling real-time strategic actions. However, challenges such as data privacy concerns, ethical considerations, and the need for advanced AI governance frameworks remain crucial areas for future exploration. Keywords—Artificial Intelligence, Big Data Analytics, Financial Markets, Strategic Decision-Making, Algorithmic Trading, Risk Assessment, Predictive Analytics.