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Salesforce artificial intelligence meets customer analytics

SAN FRANCISCO -- Most of today's business analytics tools reflect what happened in the past, but adding artificial intelligence to the mix gives users the information they need to affect future outcomes.

Salesforce artificial intelligence turns analytics platforms into guidance systems that answer four questions: What happened, why it happened, what is likely to happen next and what you should do about it, explained Ketan Karkhanis, senior vice president and general manager of Analytics Cloud at Salesforce.

With that, Salesforce is ramping up its sales and service analytics game by infusing Salesforce artificial intelligence and making analytics accessible to data sets outside its own platforms to interface with HR, ERP, financial back-office systems and other business-critical platforms. Customers regularly pull in data from external platforms and have requested this sort of holistic view of their data, according to Karkhanis.

"Every month, roughly 1.2 trillion rows of data come into Salesforce analytics," Karkhanis said. "More than 300 billion rows of data is non-Salesforce data, is non-CRM data."

When customers build analytics dashboards using Einstein Analytics, they can put those dashboards on other Salesforce assets, rather than re-creating dashboards. "It's about putting analytics wherever you are," he said.

See the rest of the interview in this video from Dreamforce 2017.

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