Salesforce opens its Einstein AI layer to all customers

Salesforce has unveiled its latest set of product updates and delivered on its promise to bring Einstein, its artificial intelligence (AI) layer, to all Salesforce customers.

First announced last fall, the Einstein AI layer has been in use by select Salesforce customers like Air France, US Bank and others. Today’s announcement opens it to millions of Salesforce customers across the company’s various “Cloud” platforms. Here’s how the company explains what Einstein can do in today’s news release:

Unlike general AI platforms that require extensive customization and armies of data scientists, Einstein democratizes AI with state-of-the-art algorithms built directly into the Salesforce Intelligent Customer Success Platform and is delivered through the apps and workflows that millions of CRM users rely on every day. Powered by advanced machine learning, deep learning, predictive analytics, natural language processing and smart data discovery, Einstein delivers intelligence directly within the context of business. And, because Einstein is built into the Salesforce platform, customers can customize their AI models for their specific needs.

Einstein’s AI adds news features to Salesforce’s Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, Analytics Cloud and Community Cloud.

Einstein Vision

Also in today’s Salesforce product release is the new Einstein Vision platform — a collection of APIs that will enable developers to bring image recognition capabilities to CRM and apps. From the Salesforce news release:

Einstein Vision allows companies to unlock powerful insights within photos — from detecting inventory levels and product quality to identifying consumer trends and customer preferences. Now, any developer can leverage pre-trained image classifiers, or train their own custom classifiers to handle a vast array of specialized image-recognition use cases.

With Einstein Vision, Salesforce says developers will be able to add things like visual search, brand detection and product identification to any app.

About The Author

Matt McGee

Matt McGee joined Third Door Media as a writer/reporter/editor in September 2008. He served as Editor-In-Chief from January 2013 until his departure in July 2017. He can be found on Twitter at @MattMcGee.