Getty Images\/iStockphoto <\/p>\n
Salesforce has built in its Einstein artificial intelligence platform and the upshot is that the move appears to be a smart way to grow organically and hit its revenue growth targets. <\/p>\n
How to Implement AI and Machine Learning <\/p>\n
The next wave of IT innovation will be powered by artificial intelligence and machine learning. We look at the ways companies can take advantage of it and how to get started. <\/p>\n
The company hosted a strategy meeting for the fiscal year ahead and rolled out its Spring 2017 release, which integrated Einstein across its platform. Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, Analytics Cloud, and Community Cloud will all get Einstein integration and add-on features. <\/p>\n
Meanwhile, Salesforce and IBM announced a partnership that will integrate Einstein with Watson. In other words, the two most marketing heavy artificial intelligence brands have teamed up. Watson has become a marketing juggernaut for IBM's future. It's safe to say that Salesforce will push Einstein on name recognition alone. Who doesn't want the Einstein name on its cloud? <\/p>\n
Salesforce and IBM will integrate APIs and use IBM's BlueWolf consulting unit to combine Watson and Einstein. IBM will use Salesforce's Service Cloud. See: IBM, Salesforce announce AI partnership | Salesforce Einstein: Here's what's real and what's coming. <\/p>\n
CEO Marc Benioff trotted out Amazon Web Services, a key customer for Einstein lead scoring and Salesforce. The two companies are partners. AWS marketing chief Ariel Kelman said it's early days, but the company plans to roll out Einstein lead scoring and other tools throughout its sales processes. <\/p>\n
Benioff, who called Einstein \"a new member on the management team,\" noted Einstein will evolve through multiple clouds. Salesforce also teased out the Summer release of its platform too. In a slide it's clear that there will be a lot more of Einstein. <\/p>\n
Now it's clear that artificial intelligence will be critical, but it didn't take long for analysts to start pondering the financial ramifications. Macquarie Capital analyst Sarah Hindlian said in a research note: <\/p>\n
Salesforce outlined Einstein customers such as Coca-Cola, AWS, Seagate, U.S. Bank, and Air France-KLM. <\/p>\n
Lead scoring and processing may be strong enough to get customers to add Einstein to the mix. In the Salesforce pricing list, Einstein is typically denoted with a \"$\" to indicate an additional charge. <\/p>\n
Here are a few screens that will tell the Einstein upsell tale. <\/p>\n
Now what remains to be seen is how quickly customers take the Einstein add-ons, but it's likely more than a few will because enterprises aren't going to have the AI knowhow or talent base around. Wall Street expects Salesforce to deliver $10.18 billion in revenue in fiscal 2018, up from $8.39 billion for the just closed year. By fiscal 2021, Salesforce is expected to have revenue of $16.68 billion. <\/p>\n
When does AI make sense for business? <\/p>\n
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Salesforce's Einstein: One smart way to upsell AI - ZDNet<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Getty Images\/iStockphoto Salesforce has built in its Einstein artificial intelligence platform and the upshot is that the move appears to be a smart way to grow organically and hit its revenue growth targets. How to Implement AI and Machine Learning The next wave of IT innovation will be powered by artificial intelligence and machine learning Continue reading