Jim Rutt defines 'warm data' as a rich and contextually nuanced type of information that captures the intricate, interdependent relationships within complex systems. Unlike 'cold data,' which offers isolated, quantifiable metrics, warm data emphasizes the interconnectedness of elements within a dynamic environment. Rutt underscores its significance in understanding behaviors, patterns, and phenomena that cannot be fully grasped through linear analysis alone. By acknowledging the subtleties and tacit knowledge embedded in these interactions, warm data provides a more holistic and systemic perspective, aiding in the resolution of multi-faceted problems where traditional data falls short.

See also: evolutionary computing, emergence, crypto, prigogine