Data Management

The new center will focus on both setting security standards and ensuring U.S. advances in AI aren’t stolen by foreign adversaries.

Without universal standards around data collection and formatting, merging and aggregating data from different sources is like fitting together puzzle pieces that don’t match. Critical data points may be missing or fragmented, creating gaps in data sets. This lack of interoperability can not only hinder cross-agency collaboration, but pose challenges around data analysis and forging insight-oriented solutions.

The Navy Yard shooting was a “wake up call,” in the words of one expert, for the government’s security apparatus. Ten years later, ideas like continuous vetting have come to fruition.

The Army’s deputy chief of staff for intelligence says military leaders need to understand both the value of OSINT, as well as “how carefully it has to be managed and implemented.”

After releasing a new data strategy in May, the Office of Personnel Management is looking for innovative agency ideas to take to scale.

A Labor Department report underscores how pandemic-era programs that didn’t verify the eligibility of applicants were exploited by fraudsters.

Linda Miller and Erik Halvorson, fraud prevention experts, explain how new technology tools and data can help protect agencies from fraudsters.

Thomas Brandt, the chief risk officer at the Federal Retirement Thrift Investment Board, said the upcoming Association of Federal Enterprise Risk Management summit and survey will provide the latest snapshot on how agencies are doing in managing and mitigating risks.