Text Clustering in Einstein Discovery

Text Clustering in Einstein Discovery
It is common to build and deploy supervised machine learning models that are generally comprised of tabular datasets with numerical, categorical, and temporal (date/time) variables. Often though, there may be additional value to be gained by augmenting the model with insights derived from unstructured data (text). Some common examples of unstructured text in this context ...

Predicting the best up-sell with Einstein Discovery Multiclass models

Predicting the best up-sell with Einstein Discovery Multiclass models
Exciting news: with the Spring 22 release, Einstein Discovery supports multiclass classification predictions (Generally Available). This allows you to solve even more predictive use cases for your business with Einstein Discovery. With these Multiclass models, you can predict probable outcomes among up to 10 categories. For example, a manufacturer can predict, based on customer attributes, ...

What happens when you make your Salesforce Reports Intelligent?

What happens when you make your Salesforce Reports Intelligent?
Insights, immediate value, and more insights! In Summer ’21 we introduced the all-new reimagined Einstein Discovery for Reports. This product allows you to enhance and augment your experience with Salesforce Reports. With Einstein Discovery for Report [EDR], you can very easily unravel data insights with a couple of clicks within moments. But you might have ...