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08/22/2022
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WorkScoop

VA data shows Oracle Cerner EHR hit with nearly 500 major incidents since initial rollout

The Department of Veteran Affairs has recorded almost 500 major incidents with its new Oracle-Cerner electronic health records system and at least 45 days of downtime within the system since it was rolled out in the fall of 2020, according to VA data obtained by FedScoop. Nihal Krishan and John Hewitt Jones have the story.


A Message From AWS Educate

With over 1,500 institutions and hundreds of thousands of students who use AWS Educate, we wanted to take you on a trip around the world and highlight how students are learning and innovating with the cloud. Learn more.


Transportation Command developing new dashboard for better data fusion

U.S. Transportation Command is developing a new dashboard to advance data-informed decision-making and provide a better common operating picture. Brandi Vincent has the details.


US to provide ScanEagle drones to Ukraine

A new round of U.S. security assistance for Ukraine, announced Friday, will for the first time include ScanEagle unmanned aerial systems that could be used to locate and target Russian forces. Jon Harper has the details.`


NIST releases expanded AI Risk Management Framework draft

The National Institute of Standards and Technology released an expanded second draft of its Artificial Intelligence Risk Management Framework with more details on developing trustworthy and responsible AI systems, said a spokesperson Friday. Dave Nyczepir has the story.


Pentagon issues new awards to university to work on hypersonics tech

The Department of Defense is extending its outreach to academia for help with developing hypersonic weapons technology, announcing on Thursday several new applied research awards for work on navigation systems, scramjets, velocity and altitude controls, and capabilities for monitoring aeroshells. Jon Harper has this also.


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How Labor Department harnesses AI to improve services

U.S. Department of Labor CTO Sanjay Koyani and Hewlett Packard Enterprise-Federal AI Evangelist Steve Heibein discuss the practical lessons government agencies are learning in piloting AI/ML projects. They also touch on considerations for choosing the most appropriate projects for AI; selecting the right data to train AI/ML; and the importance of high performance and cloud computing for rapid iteration. Watch for more discussion.


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