How to Cite:
Muthu Selvi, Chandra Sekhar, "Cognitive Product Operations through AI-Integrated Operational Technology and Predictive Decision Intelligence" International Journal of Computational Science, Technology and Management, Vol. 1, No. 1, pp. 12-19, 2026.

Abstract:
The convergence of artificial intelligence (AI), operational technology (OT), industrial Internet of Things (IIoT), digital twins, and predictive analytics is transforming conventional product operations into increasingly intelligent and adaptive systems. This research examines the concept of Cognitive Product Operations (CPO), in which AI-integrated OT infrastructure continuously captures operational signals, interprets product and process conditions, predicts emerging events, and supports or automates operational decisions. Unlike conventional Industry 4.0 approaches that primarily emphasize connectivity, automation, and real-time monitoring, CPO emphasizes the cognitive layer between operational data and managerial or machine-level action. The proposed framework integrates OT data acquisition, edge-cloud computing, AI-based predictive analytics, digital-twin representations, decision intelligence, and human-in-the-loop governance into a unified product-operations architecture. A conceptual research methodology based on systematic literature synthesis and framework development is employed. The analysis indicates that cognitive product operations can improve predictive maintenance, product quality, production scheduling, resource utilization, operational resilience, and responsiveness to demand and process variability. However, the effectiveness of such systems depends on data quality, OT-IT interoperability, model explainability, cybersecurity, organizational readiness, and appropriate allocation of decision authority between humans and AI. The study contributes a conceptual framework for connecting operational intelligence with predictive decision-making and identifies research directions for human-centric, resilient, and sustainable industrial systems. The findings position CPO as an emerging bridge between Industry 4.0 smart manufacturing and the human-centric objectives of Industry 5.0.

Keywords: Cognitive Product Operations, Artificial Intelligence, Operational Technology, Predictive Analytics, Decision Intelligence, Digital Twin, Industry 5.0, Smart Manufacturing, Industrial Iot, Predictive Maintenance.

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