Reference architectures for ingesting data from PLCs, SCADA, historians, CMMS, and vision systems into AI-ready pipelines. Techniques for dealing with missing data, drift, and non-stationary behavior in production environments.

Curated patterns for anomaly detection, predictive maintenance, predictive quality, forecasting, and scheduling in manufacturing. Discussions around model choices, evaluation metrics, and “good enough” thresholds that work on the shop floor.

Direct access to engineers and plant heads who can explain process physics, failure modes, and constraints. Exposure to ecosystem projects and consortia that work on shared tooling and standards for […]