Genie: Real-Time Hyperscale Data Platform

22. November 2022 Genie, Winter 23 4
Genie: Real-Time Hyperscale Data Platform
If you have been following Dreamforce 2022, you probably have seen a bunny hopping around and heard the buzz around Genie. Genie has many components to it, however, it’s all about bringing all your data together real-time with the aim of getting a complete picture of your customer in such a way that you can ...

Einstein Discovery – Live Predictions with Snowflake

Einstein Discovery – Live Predictions with Snowflake
Training a machine learning model in Einstein Discovery relies upon data in CRM Analytics (CRMA) datasets. The tight coupling with CRMA datasets provides many benefits to customers in terms of data availability, feature transformations/calculations, a rich ETL layer, connections to dozens of common data sources, and so on. Once deployed to Salesforce, Einstein Discovery models ...

Einstein Discovery – Bring Your Own Model Deep Dive

Einstein Discovery – Bring Your Own Model Deep Dive
By By Einstein Discovery machine learning helps you build powerful predictive models on your data using clicks, not code. With a simple, wizard-driven interface, you have the ability to rapidly create insights and predictive models. Einstein Discovery utilizes a number of industry-standard algorithms to facilitate building models, these include: GLM (linear and logistic regression) GBM ...

Flag to clean with Salesforce Data Pipelines

Flag to clean with Salesforce Data Pipelines
Are you a Salesforce admin or Salesforce owner and get requests that “those contacts are not clean”? There are probably duplicates, information that hasn’t been completed, or maybe you haven’t actually touched or worked with this contact in more than a year. If you use this data for your marketing campaigns then it becomes important ...

The complete guide to Einstein Discovery model deployments

The complete guide to Einstein Discovery model deployments
Einstein Discovery drives business value for companies by eliminating friction in using machine learning, and maximizing its time-to-value. It is designed to facilitate every step of the journey towards operationalizing Machine Learning in the workspace, in a safe, ethical and most of all practical and easy way. This applies training the model and interpreting the Story, but it ...