Salesforce boosts Einstein portfolio to add more AI into the cloud


New features enable engineers to build their own prediction engines without excessive amounts of code

Salesforce has unveiled a suite of new Einstein features that will enable developers to custom build AI integrations and machine learning into their apps without labouring over code.

The Einstein Platform Services platform has been enhanced to offer developers more advanced tools, including the drag and drop Einstein Translation feature that can translate any object or field seamlessly.

For example, if a business is dealing with a customer whose native language doesn't match the operator's language set, they can be re-routed automatically to a staff member that can communicate in the caller's native tongue.

Einstein Optical Character Recognition reads documents and autonomously updates the records in Salesforce, saving vital resources that are sometimes wasted on such time-consuming tasks, while Einstein Prediction Builder makes use of Einstein’s powerful prediction capabilities, helping admins build AI models on Salesforce fields or objects.

With Einstein Predictions Service, admins are also able to embed these predictions into third-party systems, whether ERP apps, HR apps or other platforms that need a predictive analytics boost. For example, if Einstein predicts that employees are feeling dissatisfied in the workplace, these predictions can be absorbed into a business's talent management platform to help advise a future retention strategy.

“The promise of AI is no longer reserved for data scientists. With Einstein, we are empowering developers and admins — the lifeblood of every Salesforce deployment — to make customizable AI a reality for their business,” said John Ball, EVP and general manager at Salesforce Einstein.

“But our mission goes beyond just making the technology more accessible, we are committed to democratizing AI that people can trust and use appropriately.”

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