Artificial Intelligence, Machine Learning, and Deep Learning for Advanced Business Strategies: A Review

Abstract

This study thoroughly analyses how artificial intelligence (AI), machine learning (ML), and deep learning (DL) impact the development and improvement of business strategies. It examines how AI changes business models, highlighting its ability to stimulate innovation, improve procedural effectiveness, and enhance decision-making abilities. The discussion explores the numerous uses of ML algorithms, including predicting market trends, customizing consumer engagements, and enhancing logistic systems. Moreover, it explores the use of DL techniques to analyse extensive amounts of unstructured data, revealing previously hidden insights. Besides that, the article explains how combining AI, ML, and DL into operational methods can provide significant competitive benefits. Special focus is given to the crucial role of AI in the field of big data analysis, highlighting its ability to effectively analyse and extract useful insights from large sets of data, thus strengthening the foundations of strategic decisionmaking structures. Potential paths and emerging technologies are analysed, providing a future perspective on the direction of AI, ML, and DL in relation to corporate environments. This includes predictions about how AI-enabled automation will advance, the improvement of ML systems, and the hidden capabilities of DL in detecting complex patterns. The article ends with a discussion of the simultaneous obstacles and advantages that come with these technologies, offering suggestions on how businesses can effectively use AI, ML, and DL to maintain a competitive advantage in the ever-changing market.