Data-driven control is an emerging field that focuses on designing control systems using data collected from the systems themselves, rather than relying solely on mathematical models.

By making it possible to balance governance, control, and performance so that data becomes a genuine business enabler, computational governance addresses the shortcomings of traditional frameworks ...

Hara Krishna Reddy Koppolu, a seasoned AI and data engineering expert, believes that customer interactions across industries can be transformed by leveraging an AI-driven data engineering framework.

Governance begins with policy frameworks that define data ownership, classification, access controls and regulatory obligations. However, manual enforcement mechanisms are inefficient at scale.

Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models ...