Heart failure (HF) remains a major global health challenge associated with substantial morbidity, mortality, and health care utilization. Despite advances in pharmacologic and device-based therapies, outcomes remain suboptimal, with high rates of hospitalization, readmission, and long-term mortality. At the same time, contemporary HF care generates vast amounts of data from routine diagnostic procedures and monitoring technologies, including electrocardiography, imaging, laboratory testing, wearable devices, implantable hemodynamic sensors, and cardiac implantable electronic devices. Much of this information remains underutilized, as traditional clinical workflows are not designed to fully capture or interpret these complex, high- dimensional data streams.