SAS Risk Modeling delivers an integrated infrastructure to handle data, build models using traditional statistical methods as well as advanced machine learning techniques, backtest the model, and implement them quickly providing a more flexible risk modeling solution than any outsourcing alternative. With SAS Risk Modeling, modelers can create open, explainable models in a well-managed and controlled environment. And they can do it for their regulatory risk, business models and using the latest analytic techniques, such as artificial intelligence (AI) and machine learning. These models can be deployed into integrated decision management workstreams that deliver tangible business benefits and ROI. SAS Risk Modeling is part of the Risk Modeling and Decisioning solution that combines the data management, model development, deployment, and monitoring capabilities of SAS Risk Modeling with the intuitive decision process design and rule set management capabilities of SAS Intelligent Decisioning.