How a Level System can Help Forecast AI Costs - KDnuggets

Designing and building AI systems is difficult. Unlike traditional software where the majority of the costs are in the development process before the systems are deployed, with AI systems, most of the costs occur after. The behavior of AI systems is learned, potentially changing from its initial deployment. And design decisions directly affect the ability to scale AI systems. A core part of this design difficulty is understanding how they change (or don't change!) over time.