eyeDES® LAB & SEP platform comes with a Data Science environment LAB which allows your experts to design and tailor machine learning predictive models by themselves. Organizations can develop and then use the models to detect fraud, money laundering, risk or other use cases across any channels of their business. Once developed by your organization’s experts, the models can be deployed in a matter of seconds in production on eyeDES® SEP, completely cutting the model governance process of many weeks or months of implementation.
eyeDES® SEP is enhanced with automatic Model Self Retraining capabilities to deliver even better fraud prevention accuracy and autonomy of usage.
When using eyeDES® with its LAB and SEP components, your organization keeps the full control of the solution, without relying on models delivered by external companies.
Combining both components provides you with the following benefits:
eyeDES® LAB is a unique data science environment tailored to develop machine learning based solutions for transaction scoring or anti-money-laundering for single or combined multi-channel data.
LAB can be used to define and calculate features:
The created features can be computed on live streamed data by SEP and used in production prediction models.
This process is used by the experts to enrich the data with additional signals called Features particularly tailored for the transaction scoring use cases.
The machine learning algorithms available on the platform are shared by both eyeDES® LAB and eyeDES® SEP. Therefore, there is a full consistency between the Data Science environment and the production platform.
eyeDES® SEP is a streamlined execution platform used by organizations to instantly benefit from the machine learning solutions built with the LAB component. SEP is a production capable platform in which the models are deployed in seconds instead of requiring weeks of software development.
The software is Java based with an easy integration via our available API’s. It can be embedded in existing systems or deployed on customer premises or accessed via cloud.