Federal Data Analytics News and Analysis
News and analysis covering the implementation of data analytics methods into government services and agency processes. Mounting advances in data science have enabled decision makers across the U.S. federal government to streamline agency functions in ways that improve both the quality and delivery of crucial business lines. Ongoing data integration projects have fostered collaboration between agencies with similar missions, fostering a new era of technical consilience that will allow the federal government to provide a newfound quality of services.
Meagan Metzger talks to GovernmentCIO Media about her tech accelerator
Investments in technical modernization, caretaking resources appear to be benefiting veterans in crisis.
CISA said moving to hybrid cloud also reduces cybersecurity complexity.
The organization played a lead role in the lead up to the PACT Act. Now it is eyeing veteran suicide prevention and infrastructure modernization.
The agency's Operations Triage Group is leveraging data and AIOps to detect and mitigate abnormalities across the agency’s network.
Data leaders from GAO and VA discuss how they’re collecting user feedback to improve CX.
User analytics and AI help Kessel Run improve product design by quickly identifying and analyzing user behavior.
'Mission Daybreak' is allocating $20 million toward mental health and suicide prevention efforts.
Agencies are supporting AI and data analytics projects through more advanced hybrid clouds.
The Army is embracing data literacy training to empower personnel to leverage data.
The command is calling on partners to help connect data, build cloud infrastructure and modernize security solutions.
A product line management approach is ensuring better use of resources and cost savings across the agency.
Internal consultation on use cases, integration within existing services allows agencies to best position new capacities to modernize their organization.
The Navy utilizes multiple training platforms to onboard a talent pool across its three domains of business, readiness and warfighting.
NYU built a data hub to centralize cancer center data and enable modern analytics and data-driven in biomedical research.
Intelligence, surveillance and reconnaissance (ISR) sensors collect enormous swaths of data. AI can help prioritize data loads for savvier warfighting decisions.