At the heart of Symphony AyasdiAI’s Model Accelerator is a powerful approach to regulatory risk modeling that encompasses both unsupervised learning capabilities as well as supervised learning capabilities. By leveraging the learners, AMA is able to identify groups of variables and explain why they were selected – accelerating the creation of complex but explainable risk models.
Prediction is considered a staple of risk modeling solutions but often suffers from human bias in the form of algorithmic bias, data bias and other biases that undermine accuracy. By combining unsupervised techniques with supervised approaches the predictive power of the risk modeling software can be dramatically enhanced.
Model transparency ensures success with both internal model governance boards and external regulators. During the creation of risk models in Symphony AyasdiAI, everything is documented automatically. Symphony AyasdiAI institutionalizes both variable selection and modeling methodology, systematically and deterministically, to produce a repeatable risk modeling process with consistent supporting reports on model lineage, variable selection, and cross-validation.
Symphony AyasdiAI’s risk modeling software can be used both as a model generation engine and as a model execution engine – accelerating the model development process. With AMA’s workflow and collaboration features, risk models can go from development directly into production. This stands in stark contrast to the hand-coded and expensive model development process required by traditional approaches.