The Future of Data-Based Decision-Making
The role of data in government is growing fast. But to reach the future, you have to prepare. Here are some tactics to get your data systems ready now.
Emerging Tech
To Be AI-Ready, Agencies Must Break Free From the Chaos of Connectivity
As agencies handle massive amounts of data, they’ve lost the ability to easily access it. Learn how integration platform as a service (iPaaS) can help.
Conversations With CXOs: Michael Mayta
Mike Mayta, CIO of Wichita, Kansas, shares what he’s learned in 14 years overseeing IT for the city’s 17 departments.
Examining Effective Cost Estimation
This excerpt examines how your agency can more effectively estimate future construction costs.
Conversations With CXOs: Nathan Tierney
Nathan Tierney is the Deputy CIO and Chief People Officer for the Office of Information Technology (OIT) in the Department of Veterans Affairs (VA). A veteran of the Army Special Forces, roughly five years in private sector leadership roles and author of books on health care value management, here are some lessons he’s learned about… Read more »
Preparing for an AI Future in Government Service Delivery
We don’t know what the next technology innovation will look like, or what specific benefits it will bring to government agencies, but we can say with some confidence that it will probably depend on high-quality government data.
The Complications of Cloud Security
Discover some of the challenges agencies are facing while meeting security, governance and compliance requirements.
Virtualization as a Bridge to the Cloud
This article shares the benefits of using virtualization in a cloud environment.
The Pitfalls of Building Your Own Generative AI Solution
The allure of building your own generative AI applications may be irresistible — but it’s not as straightforward as it seems.
Six Considerations for Evaluating GenAI Solutions for Fast Deployment Today
Vendors offer a bewildering array of GenAI solutions, all of which seem very similar. Some agencies have paused on evaluations to foster consensus, but the question remains: How can government agencies determine whether it is possible to deploy an effective GenAI solution today?