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Big Data Analytics and Machine Intelligence Capability Development at NASA Langley Research Center: Strategy, Roadmap, and ProgressIn 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.
Document ID
Acquisition Source
Langley Research Center
Document Type
Technical Memorandum (TM)
Ambur, Manjula Y.
(NASA Langley Research Center Hampton, VA, United States)
Yagle, Jeremy J.
(NASA Langley Research Center Hampton, VA, United States)
Reith, William
(Booz-Allen and Hamilton, Inc. Hampton, VA, United States)
McLarney, Edward
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
January 20, 2017
Publication Date
December 1, 2016
Subject Category
Documentation And Information Science
Report/Patent Number
Funding Number(s)
WBS: WBS 736466.
Distribution Limits
Public Use Permitted.
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