The Invisible Governance Layer: Why Every AI Policy Fails Without It
AI policies focus on models, ethics, privacy, but many neglect the invisible governance layer that operationalizes those policies.
AI Misfires in Government Filings: The Human Cost of Unverified Output
AI can draft your work — but it won’t defend it. Discover why polished ≠ accurate, and why human oversight still rules the room.
Building a Quantum-Ready Workforce
Quantum technology will require a specialized workforce — but it won’t all be high-level researchers, engineers and computer scientists.
Budgeting for Inference Sprawl: FinOps + GreenOps for AI
AI pilots may seem affordable, but production-scale inference brings spiraling costs and energy demands. Make AI both scalable and responsible.
How Public Service Leaders Can Maintain Focus in What Feels Like Chaos
Learn how to recognize triggers, pause before reacting, and strengthen emotional agility even in high-pressure, chaotic situations.
Superapps: Do You Need One?
Agencies provide a lot of services. Could a superapp make it easier for citizens to use the services from various agencies? Learn more about this new platform model.
Maybe We Shouldn’t Call Them AI “Agents”
Sometimes, terminology matters. The term “AI agents” can be problematic in government. Beware of connotations when speaking of agentic services.
Pursuing the Quantum Advantage
New quantum chips are bringing the technology closer to practical application, moving us closer to what’s called quantum advantage — the point at which a quantum computer can perform a task faster and more efficiently than a conventional computer. Why It Matters Except for a few experimental instances, today’s quantum computers can’t yet outdo classicalRead… Read more »
Promoting Efficiency With Data: Two Case Studies
Discover how two public agencies use data to promote efficiency, enhancing public safety and infrastructure management.
Deciphering the Need for AI Data
AI algorithms need reliable, high-quality data to generate high-quality results. Learn how to implement a data strategy that leads to more trusted sources and truer AI answers.