Advanced data analytics and AI-based anomaly detection, (1) enabling clients to design, validate and benchmark systems to identify irregularities, deviations, and non-conformities in structured and unstructured datasets or to design an approach to verify datasets and to run tests on datasets directly.
The service supports experimentation in a realistic operational environment, ensuring robustness, reliability, explainability, and compliance of anomaly detection systems prior to deployment.
A validated anomaly detection performance report; A risk and deviation analysis profile Identified data gaps and model weaknesses Optimization recommendations (technical & operational); Evidence base for market uptake, certification, or regulatory dialogue; Optional pilot validation in a near-real environment
Not specified