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 ...

Within the Human-Data OS framework, I’ve grouped the attributes into three core areas: Data, Outward, and Self/internal. The Human-Data OS is a framework for a data-driven mindset. Twelve ...

These solutions allow enterprises to apply AI-driven policy enforcement, dynamically adjusting governance controls for both structured and unstructured data as regulatory frameworks evolve.

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 ...