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, […]
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Make Einstein Discovery aware of time with Projected Predictions
The phrase “Time is of the essence“ is used to express urgency in all kinds of fields, from legal to
Create a Segmented Machine Learning Model with Einstein Discovery
It is often the case with machine learning predictive models that you need to create a model for customer data
Einstein Discovery: What is Cardinality, and why should I care?
Data cardinality is an important concept when it comes to Einstein Discovery, but what does it mean exactly? And what
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
The Tipping Point to Search First Analytics
We have heard of terms such as mobile-first, and now we are embarking on Search First Analytics. 2022 is here,
Einstein Discovery: How much data for a good story?
Have you wondered how much data you need to create a good story in Einstein Discovery? Well, you are not
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
Einstein Discovery in Automated Business Processes: Validation Rules
Let’s assume that your Business Science team has created a great Einstein Discovery model and has deployed it for consumption.
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Intelligent Pipeline Management with Einstein Discovery
A key pillar in the CRM landscape is pipeline management, where sales representatives track sales opportunities that progress through various