The Next Domain of National and Economic Security
As space systems become software-defined and increasingly commercialized, cyber risk in orbit is no longer theoretical, it is systemic.
As space systems become software-defined and increasingly commercialized, cyber risk in orbit is no longer theoretical, it is systemic.
In this video interview, Darren Williams with BlackFog discusses the risks associated with Shadow AI and how agencies can protect against them.
AI is no longer constrained by innovation; it is constrained by infrastructure, energy, and compute availability. As demand accelerates, leaders must shift from focusing on applications to designing resilient, scalable systems that enable sustained advantage. The future will be defined by who can power, govern, and scale AI effectively.
We’re preparing for one of the biggest events we put on each year: the NextGen Government Training Virtual Summit! If you’re wondering what NextGen entails or what you can get out of this free, all-day professional development, read on for some tips that will help you get the most out of your experience.
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
In this video interview, Luke Norris with Granicus discusses how agencies can deploy new AI technology to enhance service delivery and internal operations.
In this video interview, Mike Gilger with Modus Operandi discusses how agencies can improve their AI outcomes with more reliable, contextual data.
Financial agencies are overwhelmed with information — stacks of paper that must be kept by law and massive amounts of digital data needed for daily mission work. With millions of documents to sort through, many teams still rely on time‑consuming manual processes that slow everything down and increase costs. These outdated workflows make it difficultRead… Read more »
The evolution of AI coding tools has raised the prospect of “disposable software” that would reduce the need for expensive, long-term maintenance. But although appealing, this paradigm shift would be challenging for government to implement. A SpecOps approach, though, may solve the problem.
Upgrading an existing data center for AI/ML needs can be done, but there are many factors to consider.