Federal leaders hope AI use cases will spur innovation across government.
The Pentagon should focus on increasing speed in acquisitions, industry leaders say.
AI leads focus on "low-hanging fruit" closely aligned with departmental needs and goals.
Efficacy testing and trend identification help tackle sources of strategic risk.
Emerging technologies and regional hubs are part of the solution to increase efficiencies in background investigations.
Leaders and stakeholders across federal government agencies weigh the implications of artificial intelligence.
The Defense Department looks to AI for solving some of its largest problems.
As the Defense Department considers options for cloud implementation, the agency's next-generation cloud program manager talks benefits of milCloud 2.0.
The tech giant is in the running with Amazon Web Services for the Pentagon's $10 billion cloud-computing contract.
The administration’s new American AI Initiative drew attention mostly for its cyber operations and security plans, but it also focused on healthcare and the need to infuse AI.
Government officials from the Executive Office of the President and the Defense Department discuss the state of AI adoption and implementation.
The tech-giant announced new advancements in cloud-based services that will enhance government IT modernization efforts.
Some programs look toward advancements that could affect other government uses of AI, including law enforcement, emergency response and medical uses.
DOD's chief data officer emphasizes evidence-based decision-making, aligning data management efforts with DOD business leaders and building industry pipelines to drive government data science.
Pat Flanders discusses the work DHA is doing behind its electronic health record system and the areas of improvements in recent years.
The program is progressing toward a 2023 full deployment.
And it’s partnering with researchers to find out how to detect them, plus other news.
They’ve paired up with Alphabet to predict susceptible patients, plus other news.
In order to fix it, the chief data officer is working on improving data quality and making data sets machine-readable.