Analytic models are taken through a formal life cycle for model development that spans design, execution, validation and delivery, including large language models, to manage models effectively, run them in production and mitigate unintended bias, in line with the Code of Data Ethics. Succeeds v2.2 capability 8.6 (model operationalization established).
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.