VA is leading collaborative tech sprints in partnership with academia and the private sector to innovate new uses of artificial intelligence for healthcare and diagnostics.
Women are shaping AI advancement in federal IT and helping to remove biases in data sets.
Agencies must bridge technologists and business leaders to drive successful data strategies.
As the amount of digital data continues to grow, e-discovery is reshaping how organizations manage information for legal requirements and compliance.
The HSI Tip Line plays an important role in ICE investigations, but has relied on outdated IT infrastructure and manual processes.
Cloud, AI, machine learning and wearables are helping drive agencies' mission and data-driven decision-making.
RPA Community of Practice gathers experts to drive all-of-government progress with the technology.
FDA leaders are experimenting on new programs that innovate how technology facilitates the review and approval of new drugs.
Data sharing and interoperability are key for data quality and governance.
A new tool shows promise in increasing success rates of detecting cancer, and a new data strategy shows promise for future medical devices.
Health and tech experts address how data processes are creating new efficiencies in the federal health sector.
The agency’s AI efforts are progressing to include new capabilities in image search using machine-learning and automation.
Data readiness and cultural change are key to a successful AI program.
ICE and NCITE, a DHS S&T COE, highlighted the ways AI can support DHS mission integrity.
Medical data experts argue for components behind ethical AI and data use.
NCCIH outlines the potential Brain2AI has for biomedical and behavioral research.
The agency is looking to build an AI ecosystem that drives innovation and harnesses data's potential.
Predictive analytics with machine learning capabilities can get ahead of the curb in fraud and waste prevention.
Automation tools can support decision-making and should complement the workforce.
The Administration for Community Living is leveraging data to train AI algorithms that deliver a greater insight into adult mistreatment research and predictions.