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Human-machine teaming is the future of technology, claim experts in the field. Robotic process automation systems (RPAs) are capable of searching, sorting, and in some cases, processing large data sets to complete work that currently takes employees hours to complete. The tools allow human analysts to shift their attention to managing more critical challenges.

BAE Systems has partnered with UiPath in developing suites of software robots for the automation of high-volume, repetitive business processes, with an eye to integrating them into machine learning (ML) tools for U.S. intelligence and defense services, according to

“We are transitioning RPA technology from traditional business processes to automate intelligence analysis workflows, aligning to major intelligence community augmented analytics initiatives,” said Manish Parikh, chief technology officer of the BAE Systems Intelligence & Security sector. “Working with UiPath, our analysts are laying the foundation on which future augmented analytics capabilities will be designed and integrated into government systems.”

“RPAs fuel machine learning tools by feeding them high volumes of structured data necessary for it to begin learning and improving automatically, without being programmed,” said Don DeSanto, director of strategic partnerships for the BAE Systems Intelligence & Security sector. “RPAs serve as workforce multipliers that can be designed to automate many common tasks performed in organizations every day.”

As part of this partnership, BAE Systems is also working with UiPath to develop and embed new automation capabilities within its Advanced Analytics Lab. The Lab transforms large volumes of unstructured and semi-structured data into relevant and actionable intelligence for its customers, according to

“UiPath’s RPA Platform is proven to deliver faster automation design and deployment than competitors, and most customers see a return on investment in as little as six months,” said Jim Walker, Chief Technology Officer for the UiPath U.S. Federal business. “The technology is completely scalable and can be used at the server or enterprise levels, and can even be leveraged to enhance business operations occurring in the cloud.”