Big Data. Big Decisions
InformationWeek
Special Coverage Series


Army Tests Menu Of Battlefield Intelligence Apps

NSA's Ozone data-sharing network will be foundation for system that Army will test as part of its next Network Integration Evaluation.

>Slideshow: Next Generation Defense Technologies
Slideshow: Next Generation Defense Technologies
(click for larger image and for full slideshow)
The Army is developing a new Web-based system that allows soldiers to download real-time intelligence applications and information from laptops in the field.

The Army likened the new system to an app store that allows soldiers to use a battlefield communications network to access and download applications that combine real-time operations data and intelligence collected by the military, according to an article on the Army website.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The Army will test the system--part of its fusion of networking capabilities to support what it calls "ops-intel" convergence--during the next Network Integration Evaluation (NIE) in May. NIEs are semi-annual field exercises the Army engages in to integrate and advance its tactical communications network, which provides integrated voice and data capability throughout its brigade combat team.

The new system--known as Prototype-Operations/Intelligence Convergence (P-OIC)--leverages a National Security Agency (NSA) framework for sharing intelligence information, called Ozone. This provides visibility into intelligence info across numerous agencies and also allows for development of applications to meet soldiers' intelligence needs in the field, according to the Army.

[ The DOD is planning to add satellite technology that provides soldiers in remote locations with images of surrounding terrain. Read about it at DOD Proposes Disposable Satellites To Aid Soldiers. ]

Ozone--which the Army's Distributed Common Ground System, Command Web, and other mission-command networks also use--also provides a good foundation for further convergence and interoperability across the military operations and intelligence communities for future data sharing, the Army said.

During the field test of P-OIC, soldiers will use a ruggedized laptop loaded with the P-OIC system to log into the Ozone framework and access applications specific to their particular mission, according to Shane Sims, a major assigned to the Army's Project Manager for Mission Command.

"The user goes into the Ozone 'app store' and pulls down what they need," he said, adding that eventually operations and intelligence apps will be able to communicate with one another, giving soldiers continuous access to the latest information for their missions.

During the NIE 12.2 test of P-OIC, soldiers will be able to use Ozone to access a number of ops-intel convergence apps, according to the Army. One app, called Maneuver, gives users a view of the common operating picture as well as a data-management capability. Others apps include 3D Maps, Entity Tree, Document Viewer, Time Wheel, and Geoserver. There's also an app called Tactical Ground Reporting, which allows lower-echelon Soldiers to digitally capture, report, and retrieve patrol data.

The Army has been working for some time to improve its battlefield communications and give soldiers better access to information in real time. About a year ago, it began testing a new battlefield network for sharing voice, video, and data communications. It's also been using smartphones in the field to give soldiers quick and easy access to tactical applications.

As federal agencies embrace devices and apps to meet employee demand, the White House seeks one comprehensive mobile strategy. Also in the new Going Mobile issue of InformationWeek Government: Find out how the National Security Agency is developing technologies to make commercial devices suitable for intelligence work. (Free registration required.)



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.