In government, virtual learning has become an essential part of workforce development, but such trainings require more than attendance to be effective: They require employee engagement. Learn how to create virtual trainings designed for meaningful participation.
Artificial intelligence is rapidly transforming government, and successful agencies will develop leaders who can integrate AI into decision-making, workforce development, governance, and mission execution. Explore how AI can help public-sector leaders build more agile, resilient, and high-performing organizations prepared for future challenges.
There is nothing “soft” about the skills needed to lead employees through change, uncertainty and conflict. Today, successful government leaders must be able to guide people, not just projects.
The future workforce challenge isn’t a talent shortage, it’s a pipeline design problem. As AI and cyber reshape work, organizations must shift from filling roles to building continuous, adaptive capability systems that produce decision-ready leaders at scale. Those who invest in integrated workforce pipelines today will define competitive advantage tomorrow.
State and local governments encounter unique challenges when implementing AI technology. Practical, mission-related workforce development efforts can have an outsized impact in addressing these obstacles.
The cyber workforce is entering a reset year. In 2026, the biggest constraint will be the ability to staff, skill and retain teams to keep pace with threats.
The future of government is not digital, it is the rise of a digitally competent workforce capable of translating tools into mission results.
There’s a growing cybersecurity skills gap between IT and operational technology (OT). But OT security is critical and needs more attention.
Everyone agrees that government employees need to raise their digital skills. Online learning can be a good way to keep up with technological change.
In this video interview, Tony Holmes of Pluralsight discusses how agencies can use data to identify and address critical AI skills gaps.