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๐Ÿ”ŽWhen federal data disappears, what do researchers do? โžก๏ธThey turn to older datasets. State and local data. Private sources. Statistical workarounds. And almost universally, they report that none of these are an adequate substitute. ๐Ÿ’ฌ"For my work, the existence of gold-standard federal statistics is essential. Private data are helpful, but only in the context of benchmarks from official statistics." โ€” Survey respondent, educational institution ๐Ÿ“ขThe new SSRS EMERGE report documents how the federal data user community is coping โ€” and why coping isn't enough: ssrs.com/emerge-initiative/ #FederalData #ResearchData #PublicData #DataPolicy
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AI success isnโ€™t magic. Itโ€™s architecture and discipline. Bronze โ†’ Silver โ†’ Gold turns raw data into mission-ready insight: โ€ข Bronze: integrated, traceable data โ€ข Silver: validated, governed, secure โ€ข Gold: business-ready data for AI/ML Built under CMMI L3 ISO 9001, 20000-1, 27001. #SteerBridge #DataStrategy #AI #FederalData #BuiltForDelivery
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Bronze โ†’ Silver โ†’ Gold. Thatโ€™s how raw data becomes mission-ready intelligence. Bronze: integrated, messy, untrusted. Silver: governed pipelines, lineage, security. Gold: aligned datasets ready for decisions and AI/ML. We donโ€™t deploy models until data earns trust. Because AI only works when data holds up in production. Medallion โ‰  layers. Itโ€™s trust, transparency, and repeatability โ†’ built for real missions. #SteerBridge #DataEngineering #AI #FederalData #MissionReady
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As more Americans turn to generative AI for answers, a quiet but important shift is happening inside the federal government: ๐—บ๐—ฎ๐—ธ๐—ถ๐—ป๐—ด ๐—ฝ๐˜‚๐—ฏ๐—น๐—ถ๐—ฐ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐˜๐—ฟ๐˜‚๐—น๐˜† ๐˜ผ๐™„-๐™ง๐™š๐™–๐™™๐™ฎ. At a recent NISS/FCSM panel, Census Bureau CIO Luke Keller highlighted a core challengeโ€”๐—Ÿ๐—Ÿ๐— ๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ฝ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ณ๐˜‚๐—น, ๐—ฏ๐˜‚๐˜ ๐˜๐—ต๐—ฒ๐˜† ๐—ผ๐—ณ๐˜๐—ฒ๐—ป ๐˜€๐˜๐—ฟ๐˜‚๐—ด๐—ด๐—น๐—ฒ ๐˜๐—ผ ๐—ฟ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฒ ๐—ฎ๐˜‚๐˜๐—ต๐—ผ๐—ฟ๐—ถ๐˜๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ณ๐—ฒ๐—ฑ๐—ฒ๐—ฟ๐—ฎ๐—น ๐—ฑ๐—ฎ๐˜๐—ฎ. Even though the information is public, it isnโ€™t always structured in ways models can reliably parse. The result: ๐—ถ๐—ป๐—ฐ๐—ผ๐—ป๐˜€๐—ถ๐˜€๐˜๐—ฒ๐—ป๐˜ ๐—ฎ๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐˜‚๐—ป๐—ฐ๐—น๐—ฒ๐—ฎ๐—ฟ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฝ๐—ฟ๐—ผ๐˜ƒ๐—ฒ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ. Enter the ๐— ๐—ผ๐—ฑ๐—ฒ๐—น ๐—–๐—ผ๐—ป๐˜๐—ฒ๐˜…๐˜ ๐—ฃ๐—ฟ๐—ผ๐˜๐—ผ๐—ฐ๐—ผ๐—น (๐— ๐—–๐—ฃ), now being explored across agencies. Originally created by Anthropic and now stewarded by the Agentic AI Foundation, MCP acts like a โ€œswitchboard operator,โ€ connecting models directly to official datasets. Early pilots show dramatic gains: accuracy on CDC PLACES and USASpending queries jumped from near-zero to ๐Ÿต๐Ÿฑ% with MCP-enabled access. Census and GPO have already launched public MCP servers, and ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—ฎ๐—ด๐—ฒ๐—ป๐—ฐ๐—ถ๐—ฒ๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—บ๐—ฒ๐—ป๐˜๐—ถ๐—ป๐—ด. Itโ€™s not a silver bulletโ€”but itโ€™s a meaningful step toward ๐—ฒ๐—ป๐˜€๐˜‚๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ฒ๐—ฑ๐—ฒ๐—ฟ๐—ฎ๐—น ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ถ๐˜€ ๐—ฎ๐—ฐ๐—ฐ๐—ฒ๐˜€๐˜€๐—ถ๐—ฏ๐—น๐—ฒ, ๐—บ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐—ฎ๐—ฏ๐—น๐—ฒ, ๐—ฎ๐—ป๐—ฑ ๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—ณ๐—ผ๐—ฟ ๐˜๐—ต๐—ฒ ๐—”๐—œ ๐—ฒ๐—ฟ๐—ฎ. ๐—ง๐—ต๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—น ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป ๐—ป๐—ผ๐˜„: ๐—ต๐—ผ๐˜„ ๐—ฑ๐—ผ ๐˜„๐—ฒ ๐˜€๐—ฐ๐—ฎ๐—น๐—ฒ ๐˜๐—ต๐—ถ๐˜€ ๐˜€๐—ผ ๐˜๐—ต๐—ฒ ๐—ฝ๐˜‚๐—ฏ๐—น๐—ถ๐—ฐ ๐—ฐ๐—ฎ๐—ป ๐˜๐—ฟ๐˜‚๐˜€๐˜ ๐˜๐—ต๐—ฎ๐˜ ๐—”๐—œ ๐—ฎ๐—ป๐˜€๐˜„๐—ฒ๐—ฟ๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ด๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฑ ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ป๐—ฎ๐˜๐—ถ๐—ผ๐—ปโ€™๐˜€ ๐—บ๐—ผ๐˜€๐˜ ๐—ฟ๐—ฒ๐—น๐—ถ๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ? #AIReadyData #GenerativeAI #FederalData #GovTech #DataGovernance #AIStandards #ModelContextProtocol #CensusBureau #OpenData #DigitalGovernment #AIInnovation #PublicSectorTech vist.ly/4qzx7
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Trusted, unified datasets are the foundation of federal AI. As a Dell Federal Platinum Partner, Wildflower International integrates the Dell AI Data Platform for secure, compliant, high performing environments. Learn more: buff.ly/LeJDIrT #FederalData #DellTechnologies
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Special thanks to the @DataCoalition community, our senior fellows, and Board of Directors for celebrating with us. Learn more about the Datum Awards: buff.ly/bddm2LH #DatumAwards #OpenData #FederalData
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Since 2019, the Datum Awards have recognized 29 federal data leaders. Award ceremony: Nov 4, 2025 in Washington, D.C. Learn more: buff.ly/P0AFAV7 #DatumAwards #OpenData #FederalData

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Dem report finds DOGE initiative at federal agencies violated cybersecurity and privacy laws, exposing sensitive American data to breach risks. Starlink use raised monitoring and security concerns. #USPrivacy #FederalData #GovTech ift.tt/qpgA2b4

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