A Model Life Cycle (MLC) defines the requirements and processes for operationalizing a model. It includes detailed process workflows with well-defined steps for operating, governing and maintaining the model throughout its post-development life cycle, until it is retired.
Accelerate model operationalization with pre-defined Model Life Cycles
Use provided steps and processes for model registration, operations, risk and monitoring
Customize with your business, risk and technical KPIs and controls
Scale use of MLCs with metadata that defines the model’s unique path and requirements
Unite data scientists, data engineers, IT operations, model operations, risk managers and business unit leaders through clearly defined processes