Connect Data Science Programs to Semantic Layer
AtScale helps data teams bridge AI to BI — simplifying ML pipelines, accelerating feature discovery, and publishing model-generated insights back to the business.
Programmatic Feature Creation
An AtScale semantic layer establishes a single, governed source of metrics and dimensions that form an enterprise feature depot for data scientists. Data teams can quickly define new views of data, build time-relative metrics, and align dimensions across data sets. Data scientists can access live data through the governed view of the AtScale semantic layer.
Publish Model Results to Broader Audiences
Model outputs — predictions, alerts, patterns — can be written back to the AtScale semantic layer. Decision-makers can work with modeled insights using the same set of BI dashboards and reports they use for historical analytics, making it easy to track predicted metrics vs. actual metrics.