The Target-Cost per Optimization Event refers to the desired cost of using Artificial Intelligence (AI) to optimize a specific task or process. This cost may be measured in terms of financial resources, time, or other resources. In the context of AI, optimization refers to the process of improving the efficiency, accuracy, or effectiveness of a task or process by using Artificial Intelligence techniques such as machine learning, natural language processing, or computer vision. The Target-ost per Optimization Event may be used to guide the development and deployment of AI systems, and to assess the value and cost-effectiveness of these systems in different contexts.
