Data Integration: Charting a Path Forward to 2035

Abstract

In 2035, intelligence collection systems will include autonomous systems from the size of bugs to blimps, each equipped with multiple sensors. These systems will be trustable, flexible, survivable, composible, and agile.2 The future collection suite will build on many platforms in use today, to include the Global Hawk, Reaper, and Predator Remotely Piloted Aircraft (RPAs). These diverse sensors platforms will be complemented by exponentially expanding storage and computing capabilities capable of emulating human intelligence.3 Artificial intelligence will enable the integrated platform and sensor family to analyze, form opinions, make recommendations, and task collection. In this brave new world, data will be the coin of the realm. But, how do we best make use of this heterogeneous and ever expanding data? The Air Force and Department of Defense (DoD) as a whole would benefit greatly from an increased focus on data integration as a strategic enabler. Well-executed data integration saves limited personnel resources and contributes to knowledge creation. Data integration solutions that are designed to evolve from the outset offer the best potential for quick response and acquisition savings.

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Document Details

Document Type
Technical Report
Publication Date
Feb 14, 2011
Accession Number
AD1018626

Entities

People

  • Jill E. Singleton

Organizations

  • Air War College

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Artificial Intelligence
  • Big Data
  • Cognition
  • Command And Control
  • Computer Science
  • Computers
  • Data Fusion
  • Data Integration
  • Data Storage Systems
  • Department Of Defense
  • Governments
  • National Security
  • Software Development
  • Surveillance
  • War Colleges

Readers

  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs