With AI and ML, agencies are able to review data in bulk to actively monitor for the first signs of an attack and respond quickly.
Martin Stanley, Senior Advisor for AI in the Office of the Chief Technology Officer at DHS, shares how his agency uses AI to combat cyberattacks.
Randall Knol, an IT specialist at the Census Bureau, explains how the agency is implementing AI to correct data imputations caused by human error.
Bringing data together in open-source platforms provides a comprehensive understanding of the government agency’s network to help detect and thwart cybersecurity attacks.
It is important for cities to understand and adopt intelligent automation to advance their smart cities strategy, or risk falling behind.
AI and ML can rapidly detect gaps or abnormalities on agency networks, and respond with a programmed, precautionary or reactionary action immediately.
The hope is the community will feed into a larger initiative, aimed at embedding AI professionals within agencies to help improve services to the public.
During a recent cybersecurity conference, major federal figures expressed worry about threats ranging from China to deepfakes.
Public sector leaders need all the help that they can get in defining their Smart Cities strategy. With programs like the Smart Cities Innovation Accelerator by Harvard, it’s clear that academia is leading the way in offering this guidance.
This month, the Defense Logistics Agency (DLA) released a foundational data and analytics document that will direct data governance, acquisition strategies and the incorporation of emerging technologies for the military’s combat logistics branch.