Salesforce Einstein promises AI applications that 'just work' ZDNet

There aren't enough data scientists in the world to go around, so Salesforce is counting on automation and an apps-centric approach to bring its Einstein artificial intelligence capabilities to the masses. At last week's Salesforce Analyst Summit in San Francisco, company executives shared details of the company's two-plus-year effort to build a highly automated data management and machine learning pipeline to deliver predictions and recommendations at scale. The work started with Exact Target predictive customer journeys, and many (though not all) Salesforce AI acquisitions are being plugged into the same automated pipeline. The system can scale, said company executives, because all data collection, data prep, feature selection, model building, hyper-parameter tuning and scoring is handled automatically. Salesforce says it spent more than two years developing an automated data management and machine learning pipeline to drive customer-specific predictions at scale. It's the engine behind Sales Cloud Einstein, Service Cloud Einstein and Marketing Cloud Einstein apps that are either already available or due out this year (see chart below).