In support of this transformation, a multi-cloud approach allows the military to deploy infrastructure that is secure and flexible for mission-critical projects.
Over the past 100 years, a patchwork of services and care have evolved to support returning veterans and their families.
Whether a current service member or a veteran reentering the civilian workforce, look at cybersecurity training options.
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.
When the military is able to properly ingest, sort, store and analyze data about its equipment and vehicles, it can predict everything from machine failure to maintenance needs before breakdowns happen, saving effort, time, money and possibly lives.
The DoD faces a set of challenges unique to it as an organization, that makes accessing, storing and moving its data ever more complicated.
The CES authority lets USCYBERCOM hiring managers make on-the-spot job offers outside the federal government’s typical occupational constraints.
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 Many government agencies, however, still struggle with legacy and outdated IT infrastructures.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Outdated IT networks can’t fully reap the benefits of new technologies like mobility, cloud, social networking and big data analytics.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.
At a recent luncheon in Arlington, Virginia, an all-female panel gave perspective and advice to younger women in the audience.