Pentagon Wants ML to Fix Complex RPA Processes

The Defense Department, like most federal agencies, has been trying to take advantage of robotic process automation to eliminate mundane, repetitive tasks. But there are some processes that, while tedious, are too complex for simple automation.

To bridge that gap, the Defense Innovation Unit—a program focused on speeding non-traditional contractors through the DOD acquisition system—is helping the Army Financial Management and Comptroller Office find machine learning tools “to automatically identify, predict, and recommend corrections to complex business processes,” according to a solicitation posted on the program’s website.

Officials expect the tools will help correct discrepancies such as “resolving unmatched transactions; identifying patterns of fraud, waste and abuse; and other inaccuracies or redundancies in financial, logistics, travel and payroll accounting systems.”

The solicitation is clear that DIU is not looking for new RPA tools or cloud service providers. The program needs a machine learning platform to “identify and suggest corrections to business processes that are not limited to previously well-defined business logic methods.”

Read more here: Pentagon Shop Wants Machine Learning to Fix Complex RPA Processes

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