Even working with analytics and intelligent machines, human logic will always win the day when it comes to the final call.
The huge and diverse data workloads that government handles pose challenges to IT staff and agency leads in the form of siloed data, volume of data and mobility and regulatory risks.
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.
An e-discovery solution can help agencies meet their data and legal demands faster without sacrificing privacy, security or speed.
“Treasury sits in some ways in the center of the federal government because we’re the financial managers for the rest of the government,” said Justin Marsico, Deputy Assistant Commissioner and Data Executive at Treasury’s Bureau of the Fiscal Service. “And at the heart of that financial management activity is data.”
“Instead of buying something new, we realized that we had this technology already on our fleet,” Syracuse CDO Sam Edelstein said in tackling the city’s rife pothole problems.
The emergence of advanced self-service analytics platforms like Alteryx means people now have access to greater information and the power of insight, ultimately giving data workers more time to analyze than to prep.
Randall Knol, an IT specialist at the Census Bureau, explains how the agency is implementing AI to correct data imputations caused by human error.
As government employees, we often generate more data than we know what to do with, and certainly more data than we routinely use.
Bringing data together in open-source platforms provides a comprehensive understanding of the government agency’s network to help detect and thwart cybersecurity attacks.