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Embedded intelligence is a term for a self-referential process in technology where a given system or program has the ability to analyze its own operations. Embedded intelligence is often inherent in some business process, automation program or task-based resource. Using embedded intelligence, companies can get smarter about how they deploy technology in enterprise environments.
Embedded intelligence is also sometimes called “embedded analytics.” The idea is that a system can monitor itself with specific analytics that fine-tune its own operations in some way.
Embedded intelligence can take many forms – in some cases, physical sensors might bring business process data back to a supervising program that changes elements of that process accordingly. However, more frequently, embedded intelligence is a set of analytics that takes some given software process and optimizes it.
Some experts give the example of analytics built into Salesforce, a customer relationship management software tool. Embedded intelligence for Salesforce, or any other program, could consist of dashboard and report tools that aggregate data about how that program is working, and bring it back to human decision-makers.
Some also point out that embedded intelligence is more effective as it gets placed closer to core workflows. In other words, analytics that are just generally deployed across a whole enterprise resource planning platform could be seen as more of a business intelligence tool than one representing embedded analytics. However, an analytical tool that is laser-focused on a particular digital task is often categorized as embedded intelligence, again, because it is self-referential – it “sees” what that program is doing, and it reports on that for the purposes of changing and improving what that particular program has done in the past.