SELF-SUPERVISED BUSINESS ANALYTICS FOR REAL-TIME DECISION INTELLIGENCE: INTEGRATING COGNITIVE AUTOMATION AND ETHICAL AI FRAMEWORKS IN DYNAMIC ENTERPRISE ENVIRONMENTS

In 2025, enterprises face rapidly shifting environments that demand adaptive, autonomous decision systems. This paper proposes a self-supervised business analytics architecture that integrates cognitive automation with ethical AI oversight to support real-time decision intelligence. As businesses scale data-driven operations, the convergence of self-supervised learning, process robotics, and AI governance becomes essential. This research outlines a hybrid architecture for decision-making ecosystems that balance efficiency with transparency and ethical integrity.