Operational Intelligence and Continuous Optimization

Authors

Appa Rao Nagubandi
Lead Software Engineer

Synopsis

Operational Intelligence (OI) is defined as decision support processes that are conceived, developed, and applied for analytical decision support. These processes support observable and controllable domains whereby the evolution of the underlying operational systems generates data that are stored, processed, and mined in order to generate value. Continuous Operational Optimization (COpO) is defined as the continuous and persistent deliverable of computational search-and-adapt behavior by intelligent connected autonomous systems for computerized decision making. COpO solutions reside at the intersection between operational business intelligence and operational systems. Enabling COpO requires analytics models that can be integrated as continuous, regularized, and pipelined functions into stand-in, plug-and-play solutions with minimal customization effort. The demand for Continuous Operational Optimization in Industry 4.0 is ushering a new generation of OI methods and solutions that leverage Big Data for augmented automation.

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Published

12 February 2026

How to Cite

Nagubandi, A. R. . (2026). Operational Intelligence and Continuous Optimization . In Cognitive Financial Infrastructure: Designing Adaptive, Integrated Market Systems (pp. 112-126). Deep Science Publishing. https://doi.org/10.70593/978-93-7185-062-9_8