AI APPLICATIONS IN EMERGING TECH SECTORS: A REVIEW OF AI USE CASES ACROSS HEALTHCARE, RETAIL, AND CYBERSECURITY

Abstract

Artificial Intelligence (AI) has emerged as a transformative force across multiple technology-driven sectors, notably healthcare, retail, and cybersecurity. This review synthesizes current scholarly and industrial literature to map out the practical applications, technological frameworks, and strategic impacts of AI in these three critical domains. In healthcare, AI is enabling precision medicine, diagnostic automation, and patient monitoring through machine learning, natural language processing, and computer vision. In the retail sector, AI technologies are revolutionizing customer experience, inventory management, and sales forecasting by leveraging predictive analytics and recommendation engines. Meanwhile, in cybersecurity, AI-powered anomaly detection, threat intelligence, and real-time incident response are becoming essential for defending against increasingly sophisticated digital threats. This review highlights major use cases, compares the maturity of AI implementations, and identifies cross-sectoral trends such as real-time analytics, edge computing, and ethical AI concerns. By providing an integrated perspective, the paper contributes to understanding how AI adoption is shaping innovation, operational efficiency, and strategic decision-making in emerging tech sectors.