Situational understanding needs artificial intelligence

The operating environment of US ground forces gets increasingly complicated every day. Information gathered has not only grown in volume but also in complexity including structured and unstructured data from various, often siloed sources making the analysis and the creation of a full situational picture almost impossible. However, in order to successfully execute missions, complete situational understanding is needed.

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Solving for complexity

Watch this two-part video and learn how situational understanding is transforming defense and intelligence.

The challenge

Learn how IBM's Cognitive Situational Understanding (or CSU) provides methods beyond the normal solutions for limited network communications. CSU helps its users locate, derive, resolve, visualize, and integrate data, in an adaptable solution framework.

See situational understanding in action

As with most new tools and technologies, the best way to understand the true strengths of Cognitive Situational Understanding is by seeing it in action. Here, we set the scene as a situation unfolds in the fictional country of Atropia.

How Cognitive Situational Understanding works

Critical mission information can change instantly. Cognitive Situational Understanding (CSU) applies natural language processing and machine learning, so you can find the right information, prioritize, analyze and act on it.   IBMs CSU solution can be integrated with other existing government or commercial solutions and works even in a disconnected environment.  In order to get started, all you need is a problem and the data in which you can solve it.

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