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Army Plans to Use Machine Learning to Help Identify ‘Emerging Tech Leaders’

US Army
US Army

The U.S. Army plans to release later this month an opportunity for small businesses to propose platforms that could help identify, develop and deploy “emerging technology leaders" across the service using machine learning and data science, Nextgov reported Tuesday. 

The service describes ETLs as uniformed experts who can connect military operators to engineers, scientists and technologists.

The Army wants a data analytics tool or software that can be used in talent recruitment, skill identification, talent selection, development and distribution efforts. 

The initiative has three phases and the first phase will provide $256K in funds over four months to support the development of operational concepts or constructs for theory or algorithms that could be used to identify and recruit ETLs. Phase II will focus on the demonstration of software prototype, while Phase III will deal with the integration of machine learning algorithms and software analytics to help reduce the workload of staffing personnel. 

The Army will officially issue the call for proposals on Nov. 24 as part of the Small Business Innovation Research program and start accepting bids on Dec. 8. 

Proposals are due Jan. 12, according to the notice.

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Written by Jane Edwards

is a staff writer at Executive Mosaic, where she writes for ExecutiveBiz about IT modernization, cybersecurity, space procurement and industry leaders’ perspectives on government technology trends.

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