![AtScale semantic layer connects AutoML to BI](https://www.atscale.com/wp-content/uploads/2022/03/AutoML@2x.png)
AtScale + AutoML
AtScale helps data teams bridge AI to BI – simplifying ML pipelines, accelerating feature discovery, and publishing model-generated insights back to the business.
![AtScale Powerful Metrics Design](https://www.atscale.com/wp-content/uploads/2022/03/Homepage-Screenshot-min.jpeg)
The Power of a Semantic Layer
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 rapidly 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.
![Laptop Chart](https://www.atscale.com/wp-content/uploads/2022/03/timeseries2-1-1024x571-1.png)
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 vs. actual metrics.