Even working with analytics and intelligent machines, human logic will always win the day when it comes to the final call.
The fruits of labor that have been linked for decades to artificial intelligence and machine learning finally are ripe, and agencies can harvest their full value by going to the cloud.
Not only is the amount of data rapidly increasing in government, but the potential value of data is growing as well. Predictive analytics, machine learning and artificial intelligence (AI) are broadening the use cases for data and in turn unshackling productivity for government employees.
The “Innovation Community Center” (ICC) is a digital hub that will invite internal and external stakeholders to solve challenges using emerging and inventive technologies.
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.