Artificial intelligence meets enterprise collaboration systems

AI in enterprise collaboration platforms: A comparison

Microsoft, Salesforce and Oracle have introduced different flavors of artificial intelligence into their enterprise collaboration platforms and are extending them to their respective tools such as Slack and Microsoft Teams.

You're left looking at the different products and wondering, "Which makes the most sense for our organization?" While we can't tell you precisely which product will meet your organization's specific needs, we can say this with 100% certainty: It depends.

Different platforms integrate different AI schemes. Ease of use varies across the different software tools. Productivity will depend, of course, on what your organization's priority is -- whether it's deep reporting and analytics to please the finance department, getting sales up and running with a simpler tool or keeping the IT department happy with an easier rollout.

Oracle has high expectations for the Adaptive Intelligent Applications enhancements to its customer relationship management products. Microsoft launched Cognitive Services about a year ago, and Microsoft and Salesforce are forming partnerships -- most notably the Watson-Einstein pairing -- and both are investing heavily in APIs.

Ease of integration should be a part of all enterprise collaboration platforms. Each one should be open and flexible to support any number of apps such as chatbots through which API developers can efficiently create software assistants to enable staff to work smarter.

This handbook breaks down the various approaches to AI and enterprise collaboration platforms, comparing and contrasting the Microsoft, Salesforce and Oracle AI approaches. The one takeaway you need to remember: It's evolving tech, and each vendor's integration will likely grow deeper and smarter with every new rev.