COMPOSABLE INTELLIGENCE: A UNIFIED FRAMEWORK FOR DATA-CENTRIC AI ENGINEERING USING MODULAR PIPELINES, EDGE ANALYTICS, AND REAL-TIME SEMANTIC FEEDBACK, SCALABLE, SELF-HEALING DATA SYSTEMS WITH AI-ENHANCED QUALITY MONITORING AND INTENT-DRIVEN WORKFLOW

The evolution of composable intelligence represents a pivotal shift in the design and implementation of data-centric AI systems. This research proposes a unified framework that integrates modular pipelines, edge analytics, and real-time semantic feedback to facilitate scalable, resilient, and autonomous data infrastructures. The core focus is on self-healing systems empowered by AI-enhanced quality monitoring and intent-driven workflow automation to ensure adaptability across heterogeneous environments. This architecture fosters optimized decision-making and agile data operations within mission-critical AI ecosystems.