What It Takes to Move AI From Pilot Phase to Full Deployment
In this video interview, Adam Clater, a Chief Architect at Red Hat, discusses how agencies can advance their AI maturity.
Artificial Intelligence
The Change Work That AI Cannot Do
In the age of AI, leaders must be uniquely collaborative and strategic: Traditional management styles will not address employee unease with technology-driven change. Here are practical tips for AI implementation that a workforce can support.
Agentic AI in Government Isn’t a Technology Problem. It’s a Data Readiness Problem.
Agentic AI offers capabilities beyond what earlier AI can do. But agentic AI’s autonomous nature amplifies an organization’s underlying data, governance and other weaknesses and requires a new IT mindset.
Using AI to Write Your Work E-Mails
Artificial intelligence (AI) can be a significant time-saver at work, but there are drawbacks when using the technology to help write work-related emails.
Why Your Data Stack Is the Key to AI
In this video interview, Snowflake’s Adam Edelman explains how a unified data stack solves challenges and delivers on the promise of AI.
The Invisible Constraint on AI: Why Infrastructure, not Innovation, Will Define Government Advantage
AI is no longer constrained by innovation; it is constrained by infrastructure, energy, and compute availability. As demand accelerates, leaders must shift from focusing on applications to designing resilient, scalable systems that enable sustained advantage. The future will be defined by who can power, govern, and scale AI effectively.
When AI Becomes the Reader, Structure Becomes Authority
When AI systems process government information, they can’t always tell if a policy is current or even if it’s official. Structure provides the clues.
Tennessee Sees Governance as Key to Agentic Success
Agentic AI has the potential to transform how government responds to constituent needs — but state and local officials aren’t getting caught in the hype. Hear how Tennessee’s CIO explains her state’s careful, responsible path to incorporating agentic AI into state systems.
Confronting Bias in Artificial Intelligence
An AI system recently admitted to a featured contributor that it “flows downstream on a river of human bias” and rarely gets corrected. That should change how leaders use these tools. If you rely on AI for decisions, learn three practical ways to push back on AI bias and redirect the current.
The Rise of Human-AI Decision Teams in Government
AI is reshaping decision-making across government, creating hybrid human-AI decision teams that combine machine speed and pattern recognition with human judgment, accountability, and context. Such collaboration can deliver faster and more effective mission outcomes, risk detection, and other benefits.