Page 26 - FCW, March/April 2020

Artificial Intelligence
The importance of
adding context to data
The success of AI and machine learning is rooted in the speed, quality and correlation of data
David Wray
CTO, Micro Focus Government Solutions
enriching data and enabling knowledge discovery with rich media analytics.
This approach enables agencies to
keep pace with what’s happening in their internal call centers as well as email, social media and the news media in context with their mission objectives — for example,
by assessing public sentiment about the latest policy statement or government trade agreement to refine agencies’ communications strategy.
With IDOL, agencies can use patterns to understand unstructured and structured data from an extensive, diverse library
of data. They can then zero in on the
most valuable information and disregard irrelevant or low-priority information.
Federal and local agencies can combine that information with physical security data to monitor borders or better assess the threat levels during large public events. By putting all that information
in context, agencies can create a critical infrastructure monitoring solution that aligns with the Department of Homeland Security’s National Infrastructure Protection Plan.
A centralized approach to data protection
Understanding that data is a strategic asset, agencies should ensure that data protection is built into their strategies for AI and analytics. Although agencies have many ways to encrypt data at rest and in transit, there are still major gaps in security when data is in use. In particular, many agencies struggle to protect data when it is pulled from secure systems for analysis or shared with other agencies.
ARTIFICIAL INTELLIGENCE IS the key to finding relevant information
in a sea of data as a source of value creation and delivery to gain a competitive advantage. AI can offer invaluable insights into public sentiment, help agencies resolve security-related IT events and support
a comprehensive approach to critical infrastructure protection.
By leveraging advanced correlation and aggregation techniques, agencies can use AI to eliminate redundant or non-important information and thereby improve mission outcomes. For example, Micro Focus Government Solutions feeds our advanced security information and event management system with data from log file collectors
to greatly reduce irrelevant data, improve cyber hunting and detection, and fuel predictive analytics.
Focusing on the most relevant information
Agencies need to go beyond just capturing volumes of data to providing a system of insights and knowledge in context with mission priorities to facilitate digital operational decisions. Generating actionable insights requires the ability
to correlate data from any source and in any format, including images, video and audio. That’s why Micro Focus couples our Intelligent Data Operating Layer (IDOL) technology, developed as part of HPE’s Autonomy, with advanced techniques for
davooda/Shutterstock/FCW Staff
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