Big Data Analytics and Machine Intelligence Capability Development at NASA Langley Research Center: Strategy, Roadmap, and Progress

In 2014, a team of researchers, engineers and information technology specialists at NASA Langley Research Center developed a Big Data Analytics and Machine Intelligence Strategy and Roadmap as part of Langley's Comprehensive Digital Transformation Initiative, with the goal of identifying the go...

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Bibliographic Details
Published inNASA Center for AeroSpace Information (CASI). Reports
Main Authors Ambur, Manjula Y, Yagle, Jeremy J, Reith, William, McLarney, Edward
Format Report
LanguageEnglish
Published Hampton NASA/Langley Research Center 01.12.2016
Subjects
Analytics
Artificial intelligence
Big Data
Collaboration
Colleges & universities
Data analysis
Data management
Domains
Information technology
Initiatives
Mathematical analysis
Organizations
Pilots
R&D
Research & development
Strategy
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Summary:In 2014, a team of researchers, engineers and information technology specialists at NASA Langley Research Center developed a Big Data Analytics and Machine Intelligence Strategy and Roadmap as part of Langley's Comprehensive Digital Transformation Initiative, with the goal of identifying the goals, objectives, initiatives, and recommendations need to develop near-, mid- and long-term capabilities for data analytics and machine intelligence in aerospace domains. Since that time, significant progress has been made in developing pilots and projects in several research, engineering, and scientific domains by following the original strategy of collaboration between mission support organizations, mission organizations, and external partners from universities and industry. This report summarizes the work to date in Data Intensive Scientific Discovery, Deep Content Analytics, and Deep Q&A projects, as well as the progress made in collaboration, outreach, and education. Recommendations for continuing this success into future phases of the initiative are also made.