machine learning | GovernmentCIO Media & Research

machine learning

The department is implementing its AI strategy to improve data efforts and veteran solutions.
Oki Mek shares how the agency is gearing up data efforts for a collaborative approach to AI.
Ahead of the release of the Army Digital Transformation Strategy, Army CIO Raj Iyer and others discuss what it takes to achieve their vision of a unified network.
Automation, eDiscovery and cloud are improving records management in digital environments.
Data management is a journey, and DHS components try to learn from each other.
Federal AI leaders share examples of groundwork around data management, training and culture.
The plan looks to leverage data science and improve health for gender and ethnic minorities.
HHS CAIO Oki Mek said the agency's AI playbook aims to help overcome common challenges around AI adoption.
Women are shaping AI advancement in federal IT and helping to remove biases in data sets.
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.
Predictive analytics with machine learning capabilities can get ahead of the curb in fraud and waste prevention.
The Joint Pathology Center's effort to upload 55 million samples of tissues could pave new opportunities in medical research and patient care.
The pandemic accelerated various IT modernization efforts across the agency, with a heavy emphasis on security.
Artificial intelligence, facial recognition and machine learning could streamline and accelerate technology amid the pandemic.
DHS and DARPA are using AI to address public health concerns.
Successful AI and machine-learning capacities within health systems require a foundational attention to data quality and the broader care environment.
Data-mining techniques will allow health researchers to sharpen COVID-19 literature and clinical trial database search results.