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Network Centric Operations: Data Sensor Fusion Frameworks

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This FREE webinar was recorded on:
December 22, 2009
12:00 PM - 01:00 PM EST

Software developers and system architects are building advanced multiple-intelligence (Multi-INT) applications ingesting and managing petabyte and exabyte volumes of intelligence data from multiple disparate sources. These experts need data management solutions that can enable and support the defense and intelligence community's real-time data fusion platforms, which are redefining and extending the requirements for performance, scalability and systems complexity.

In this Webcast, Fred Stein, distinguished engineer of netcentric operations at MITRE and co-author of "Network Centric Warfare" joins Objectivity to discusses the application of today's technology in the new age of NCW/NCO. In addition, Brian Clark, vice president of product management at Objectivity, explores present and future technology-enabled information sharing and how database management technology can enable operational success by presenting a common operation view.

In this complimentary webinar, you will learn how to:

  • Harness innovation to gain operational success in NCW/NCO
  • Create coherent interoperability of information within coalition forces
  • Deliver the right information to the right person at the right time
  • Protect information with multi-level security settings, data lineage and data pedigree


If you found this information useful you may also be interested in attending the NCW: Networked Enabled Operations event 25 - 28 January. To learn more please continue here

Presenters:

Fred Stein
Distinguished Engineer of Net-Centric Operations
MITRE
Brian Clark
VP Product Management
Objectivity, Inc
We respect your privacy, by clicking ‘Watch On Demand’ you agree to receive our e-newsletter, including information on Podcasts, Webinars, event discounts and online learning opportunities. For further information on how we process and monitor your personal data click here. You can unsubscribe at anytime.