Skills Benchmarking Lays Groundwork for AI Success
In this video interview, Tony Holmes of Pluralsight discusses how agencies can use data to identify and address critical AI skills gaps.
In this video interview, Tony Holmes of Pluralsight discusses how agencies can use data to identify and address critical AI skills gaps.
In state and local government, where the ability to deliver high-quality programs hinges on the close collaboration of teams across an organization.
DHS has developed the Unified Cybersecurity Maturity Model, a framework that allows the agency to tie the investment dollars to the cybersecurity of programs and their component systems.
In 2022, the State Department updated its criteria for evaluating U.S. Foreign Service employees’ performance to reflect data’s growing usefulness — in all aspects of department work.
Even as agencies focus on short-term AI projects, they can start thinking about more strategic objectives, says Snowflake’s Winston Change.
Given the complexity of the modern data center, agencies must rely on automation to strengthen network reliability.
To accelerate their ability to respond to modern cyber threats, agencies must enable their network and security operations centers to work together seamlessly.
Zero-trust architecture, while widely recognized as essential to modern security, has earned a reputation as a daunting undertaking. John Kindervag, who is credited with defining the zero trust approach in 2010 when he was a principal analyst at Forrester Research, would like to bust that myth.
The release of AI foundation models allows organizations to take advantage of broader community investments in AI. But there’s a catch: Agencies need to tweak and train these models to meet their specific objectives, maintain privacy and ensure regulatory compliance.
Tips and takeaways from the experts on how to make the most of community surveys.