shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance...
environments (e.g., Kubernetes, EKS, AKS, GKE). Implement monitoring tools to track model performance and drift in production...
triggered by drift detection, new data arrival, or scheduled intervals. Build observability for model health, drift, inference...
, reproducible training, model packaging, CI/CD, monitoring/drift detection, safe rollback. BI: Power BI (including DAX), Sigma...
, keeping Figma and code in sync and driving adoption across product teams. Reduce design-engineering drift by auditing...
drift without being prompted and generate Key Process Indicators or Metrics to identify process drifts and maintain control...
Databases, on-premises or in the cloud. Assess security, detect configuration and user drift, find and mask sensitive data...
as well. Sensors and vehicle calibrations can drift unexpectedly, which if undetected significantly harms the quality...
, enabling proactive detection and containment of drift before it impacts customers or employees. The Opportunity As the... and contain operational drift, drive safe automation boundaries, and uplift the maturity of RUN - PROTECT - EVOLVE capabilities...
of production-grade machine-learning systems. Direct improvements across the MLOps lifecycle: model monitoring, drift detection...