Preparing for Post-Quantum Cryptography
Quantum computing poses one clearly identified threat — the ability to compromise almost all current digital encryption. Here’s how to prepare today.
Emerging Tech
Empowering Transportation Agencies With AI-Fueled Innovation
Responsible for ensuring the safety of the various ways we travel, transportation agencies are challengedto reduce crashes and ensure the efficient movement of people and goods. In order to do that effectively, agencies must rely on data to help create new approaches to safety, resiliency, operations, and planning, and to address challenges such as congestionRead… Read more »
Procurement in the Age of Prompt Engineering: Why Governments Still Buy Like It’s 1999
Agencies seek AI transformation but still use procurement systems designed for the last century. To fix it, embed agility and accountability into every acquisition.
Pardon Me – Do You Have a Spare Qubit?
The basic unit of quantum computing, the qubit, sounds like something you could buy one at a store. But it’s not. Here’s some background on quantum.
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.
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.
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 »
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.
Drive AI Success With a Modernized Data Infrastructure
Did you know that around 85% of AI projects fail, with data access often attributed as the top reason for their failure? With AI’s potential to boost public service delivery and cut costs, agencies need to create an intelligent data infrastructure (IDI) tailored for their government environment to help AI projects come to fruition. Let’sRead… Read more »