DoD needs modern technology that makes it easier for warfighters to access data and manage critical applications. Hybrid cloud fits that bill.
Posts Tagged: DOD
A recent Pew Research Center report shows that many Americans think the U.S. is prepared to handle a cyberattack, but recent federal reports show there’s work to be done.
In support of this transformation, a multi-cloud approach allows the military to deploy infrastructure that is secure and flexible for mission-critical projects.
Cybersecurity seems simple enough. The old methodology went something along the lines of installing a strong IT network, training employees to identify and avoid risks, and locking down the most sensitive information in-house.
At the General Services Administration’s emerging technology symposium, speakers explained how to select, initiate and maintain an RPA project.
The DoD faces a set of challenges unique to it as an organization, that makes accessing, storing and moving its data ever more complicated.
There’s a growing appetite among federal CIOs to move from merely talking about transforming government IT and cyber, to actually institutionalizing change.
While AI provides significant advantages, it can be challenging to adopt without the right computing and development resources to enable it. Many government agencies, however, still struggle with legacy and outdated IT infrastructures. That’s why a trusted and robust cloud infrastructure is a critical component of the DoD’s journey to AI and machine learning.
Outdated IT networks can’t fully reap the benefits of new technologies like mobility, cloud, social networking and big data analytics. But without those modern tools, the joint forces are limited in their ability to serve the men and women who protect our country and its citizens.
The military, like any other organization, is always evolving. This means, however, that the network that was developed for previous warfare environments and that worked decades ago doesn’t meet current needs, let alone future warfighting needs