AI in Government Starts With Trust in Data, but Is Built With People
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
In this video interview, Luke Norris with Granicus discusses how agencies can deploy new AI technology to enhance service delivery and internal operations.
In this video interview, Mike Gilger with Modus Operandi discusses how agencies can improve their AI outcomes with more reliable, contextual data.
Financial agencies are overwhelmed with information — stacks of paper that must be kept by law and massive amounts of digital data needed for daily mission work. With millions of documents to sort through, many teams still rely on time‑consuming manual processes that slow everything down and increase costs. These outdated workflows make it difficultRead… Read more »
The evolution of AI coding tools has raised the prospect of “disposable software” that would reduce the need for expensive, long-term maintenance. But although appealing, this paradigm shift would be challenging for government to implement. A SpecOps approach, though, may solve the problem.
Upgrading an existing data center for AI/ML needs can be done, but there are many factors to consider.
Looking for guidance on what AI can do and how to implement it? Check out this roundup of quick, insightful blog posts.
The basics of quantum computing can be hard to comprehend — and even more difficult to remember. Here are five key points to keep in mind, in commonsense language.
Quantum computing poses one clearly identified threat — the ability to compromise almost all current digital encryption. Here’s how to prepare today.
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 »