Jun 14 2023
Data Analytics

These Are the Agencies with Early Advanced Analytics Use Cases

Those that have built substantial data sets and manually performed predictive analysis on them are ahead of the curve.

Agencies that have manually built substantial data sets are well positioned to automate that capability to implement advanced analytics.

The National Oceanic and Atmospheric Administration, NASA and the Centers for Disease Control and Prevention have decades of data on which they manually performed predictive analysis that is now being turned over to machine learning.

For instance, NASA had “human computers” verifying launch trajectories and orbits before IBM mainframes were introduced to process its data. From there, it’s a matter of putting existing control sets, predictive measures and contour lines into an artificial intelligence (AI) learning model.

Click the banner below to receive featured content and cloud solutions by becoming an Insider.

Cybersecurity Is the Top Advanced Analytics Use Case

Agencies primarily are interested in the cybersecurity applications of advanced analytics, including monitoring for malware, ransomware and insider threats. The federal government is almost a decade behind industry and playing catch-up in this area, spurred by President Joe Biden’s 2021 executive order on improving the nation’s cybersecurity.

Splunk’s User Behavior Analytics is newer software that was developed by feeding collected data into a learning model but now identifies threats by analyzing network traffic patterns against the centralized threat repository it’s created. A user operating at odd hours, performing unusual tasks or attempting to access protected data could all be signs of a compromised account, and advanced analytics can catch these indicators faster than analysts.

Another example is ransomware that changes a large data set on user storage arrays, locks it down and encrypts the information. Now, storage devices are leveraging advanced analytics to flag when there is a sudden transfer of large volumes of data by a single user.

Meanwhile, the Department of Defense is using advanced analytics to predict the impact of aircraft and ground capabilities in warfare and determine how they can best be coordinated.

Financial learning models might be questionable at best, but the reality is that the Federal Reserve needs their analysis to adjust monetary policy — largely by changing interest rates — to prevent inflation.

And last, agencies are beginning to use advanced analytics to manage the growing number of Internet of Things devices at their disposal.

READ MORE: How advanced analytics is changing how agencies fight fraud.

Underlying Technologies Are Use Case-Dependent

Every agency will require different advanced analytics technologies according to its needs, but NVIDIA has developed capabilities to run AI engines that are worth considering for new use cases.

At the same time, HP and Dell are enhancing supercomputers with AI learning models.

Advanced analytics is a broad area, and the technologies that agencies need will depend on whether they’re doing fraud detection, predictive maintenance, cybersecurity or customer segmentation. CDW works with agencies such as the General Services Administration to apply advanced analytics to supply chain optimization and predictive modeling.

Across the government, there are opportunities to make use of advanced analytics depending on agencies’ particular missions and objectives.

This article is part of FedTech’s CapITal blog series.

CapITal blog logo

NicoElNino/Getty Images

Become an Insider

Unlock white papers, personalized recommendations and other premium content for an in-depth look at evolving IT