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Proceedings Paper

Multi-Intelligence Analytics for Next Generation Analysts (MIAGA)
Author(s): Erik Blasch; Ed Waltz
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Paper Abstract

Current analysts are inundated with large volumes of data from which extraction, exploitation, and indexing are required. A future need for next-generation analysts is an appropriate balance between machine analytics from raw data and the ability of the user to interact with information through automation. Many quantitative intelligence tools and techniques have been developed which are examined towards matching analyst opportunities with recent technical trends such as big data, access to information, and visualization. The concepts and techniques summarized are derived from discussions with real analysts, documented trends of technical developments, and methods to engage future analysts with multiintelligence services. For example, qualitative techniques should be matched against physical, cognitive, and contextual quantitative analytics for intelligence reporting. Future trends include enabling knowledge search, collaborative situational sharing, and agile support for empirical decision-making and analytical reasoning.

Paper Details

Date Published: 12 May 2016
PDF: 12 pages
Proc. SPIE 9851, Next-Generation Analyst IV, 98510M (12 May 2016); doi: 10.1117/12.2223993
Show Author Affiliations
Erik Blasch, Air Force Research Lab. (United States)
Ed Waltz, Virginia Polytechnic Institute and State Univ. (United States)


Published in SPIE Proceedings Vol. 9851:
Next-Generation Analyst IV
Barbara D. Broome; Timothy P. Hanratty; David L. Hall; James Llinas, Editor(s)

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