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dc.contributor.authorKurt Rothenhaus
dc.contributor.authorKristine De Soto
dc.contributor.authorEmily Nguyen
dc.contributor.authorJeffrey Millard
dc.identifier.citationPublished--Unlimited Distribution
dc.descriptionAcquisition Management / Defense Acquisition Community Contributor
dc.description.abstractTwenty years ago, the Navy began expanding the use of commercial industry information technology (IT) to employ Internet Protocol (IP) based client server and web-based technologies to improve software effectiveness and affordability on ships and submarines. Coupled with wideband satellite capabilities, these systems increased the Navy's ability to plan, communicate, command and control, and execute increasingly complex missions. With a sound foundation in commercial IT installed in the Fleet, the Navy is looking today to improve warfighting by leveraging emerging technologies in Data Analytics, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). These technologies have the potential to change how the Navy fights and will drive changes to the Fleet's Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) architecture and processes. This paper proposes a reference architecture, new processes, and tools to meet the dynamic nature of these emerging technologies, to include employing the commercial DEVelopment and OPerationS (DevOps) construct. The reference architecture and processes have the potential not only to accelerate the modernization of the afloat Navy networking WAN/LAN infrastructure, but also to deliver important warfighting capabilities to support Command and Control, Intelligence, and Logistics software applications.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesAcquisition Management
dc.subjectDEVelopment OPerationS
dc.subjectArtificial Intelligence
dc.subjectInternet Protocol
dc.subjectSoftware Effectiveness
dc.subjectSatellite Capabilities
dc.subjectMachine Learning
dc.subjectDeep Learning
dc.titleApplying a DEVelopment OPerationS (DevOps) Reference Architecture to Accelerate Delivery of Emerging Technologies in Data Analytics, Deep Learning, and Artificial Intelligence to the Afloat U.S. Navy
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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