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When the Biden administration launched an AI task force earlier this month to create a path to “democratize access to research tools to promote AI,” the goal of access was paramount.
Read moreAs the size of Treasury’s mission has grown exponentially, the never-ending repetitive tasks they tackle have increasingly relied on artificial intelligence and machine learning.
David Koch, DLA’s research and development chief, points to the opportunity for AI and machine learning to help improve the agency’s demand-planning process.
Artificial intelligence is a powerful technology, but it’s not a magic salve you can apply to a process to make it better. If anything, AI – and the related machine learning, robotic process automation and even data analytics technologies – requires more attention than ever to an eternal basic of information technology deployment.
Here’s what we know about how a global IT outage, sparked by a faulty software update from cybersecurity firm CrowdStrike, is impacting federal agencies.
FSAFEDS enrollees will also soon have to transition to Login.gov and complete an identity verification to continue accessing their accounts.
Ideal collaboration will drive a continuous loop in which industry invests, develops and demonstrates with federal agency end user requirements top of mind.
The chairman of the Senate Intelligence Committee called the delays with the next-generation background investigation system a “disaster.”
DISA’s PEO for transport, which is essentially the internet for the Defense Department, is looking for capabilities that have lifespan standards.
NARA has approved limited exceptions to the electronic records deadline, but many agencies have shifted away from paper-based processes.
“Advana was like a victim of its own success — it scaled tremendously over the last few years.” said Radha Plumb.
The potency of AI and implementation of data enabled missions hinges on skilled talent.