Data 36030 tasks
Build Data 360 Predictive Models
Get a scoring or prediction model trained in Einstein Studio on Data 360 data, activated, and producing scores you can use in segments and automation.
Method
How MeshMesh does it
- Checks for an existing model and removes one that is wrong before rebuilding.
- Generates sample data and loads it through the Ingestion API.
- Builds and trains the model in Einstein Studio.
- When a model needs changing, researches its API and update options. Field labels are fixed at training time, so the model has to be recreated and retrained.
- Activates the model and sets up a prediction job, including streaming scoring.
- Puts the scores to use: in Segment Builder and in Lightning web components on a profile page.
- Writes demo material from accounts queried in the org, such as a demo guide with reset steps.
Products
Products and features it works with
Bars show how many of this capability's tasks touched each product.