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Research and Markets: Big Data in Defence and Security from the User's Perspective
[September 29, 2015]

Research and Markets: Big Data in Defence and Security from the User's Perspective


Research and Markets (http://www.researchandmarkets.com/research/k3m3k6/big_data_in) has announced the addition of the "Big Data in Defence and Security" report to their offering.

As the hype continues around Big Data, its ambiguous nature continues to obscure the potential applications of the technology. Clarity (News - Alert) is beginning to emerge within the A&D community about how Big Data can be leveraged for 'intelligence amplification' and companies are beginning to respond. This research aims to define these emerging applications and how intelligence amplification can be achieved in a defense and security environment. The research service has considered Open Source (News - Alert) Intelligence, Activit-based Intelligence, and Deep Learning.



Defining Big Data is problematic. While faster, more, and cheaper are readily tangible concepts, understanding precisely how this data is leveraged to meet operational requirements can remain vague.

This is no accident. The term is not employed to solely describe technologies such as remote sensing or distributed file systems; nor is its application exclusive to either the retail sector or law enforcement. Rather, Big Data encompasses a diverse architecture of technologies that can be used in unison to provide actionable insight'. For a single term to encompass all the products that have enabled the unprecedented study of diverse, cheap, exploitable digital information across different verticals, a level of ambiguity is understandably necessary.


Key Topics Covered:

1. Intelligence Amplification: What Has Driven Big Data?

1.1 Open Source Intelligence

1.2 Activity-based Intelligence

1.3 Deep Learning

2. Big Data in the Context of A&D

2.1 Defence

2.2 Law Enforcement

3. Challenges and the Future

For more information visit http://www.researchandmarkets.com/research/k3m3k6/big_data_in


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