The Dark Side of AI We see the same mistakes over and over again in Artificial Intelligence (AI) and Revenue Cycle Management (RCM) projects: data drift, misaligned KPIs, and weak governance. An example of issues that shrink projected revenue and create quality and compliance risks on implementation projects is provided below: Drift and Decay: The AI Model Gets Worse Silently The Pitfalls:   Teams launch new AI models and forget about them. The environments begin to change ov

The AI Algorithm Drift Grift Is the AI Algorithms Drift issue a Grift? No. Artificial Intelligence (AI) Algorithmic Drift itself is NOT a grift — but the way some vendors handle the issues associated with AI Drift, (or hide it) absolutely can be . Algorithm drift is a real, well-documented technical phenomenon  in machine learning. Drift itself is a legitimate science. For those who might be pondering what a Grift is? An AI in RCM Grift refers to a kind of hustle that exa