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AI and ML solutions can increase agencies’ efficiency, improve job satisfaction, and increase the quality of services offered to constituents.
Posts Tagged: machine learning
Pairing Man and Machine on Zero Trust
An industry cybersecurity expert gave agencies three pointers for protecting themselves with zero trust cybersecurity, which assumes everyone and everything on IT networks is potentially threatening.
Using the Digital Workforce to Improve Resilience
RPA can help federal agencies move from their initial reaction to COVID-19 To long-term planning for digital work realities.
Drive Innovation With Data and AI
Agencies can provide a solid data foundation for their AI programs by optimizing data and creating a data governance model.
Trustworthy AI for the Future of Fingerprints, Biometrics
GovLoop interviewed Elham Tabassi, Chief of Staff for the Information Technology Lab (ITL) at the National Institute of Standards and Technology (NIST).
How AI & ML Combat Cyberattacks
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.
Intelligent Automation for Actionable Insight and Cost Reduction
It is important for cities to understand and adopt intelligent automation to advance their smart cities strategy, or risk falling behind.
Fighting Cyberattacks and Modernizing IT: Five Steps to Deploying AI at Agencies
AI and ML can rapidly detect gaps or abnormalities on agency networks, and respond with a programmed, precautionary or reactionary action immediately.
Exclusive: DLA Releases Update on First Data & Analytics Strategy, Promising Cloud and Emerging Tech Investments
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.
Cutting Bureaucratic Tape to Bring Better Service to Veterans
VA has embarked on a mission to modernization, which has been advanced by thinking outside of the box and outside of VA headquarters.