AI-powered automation is transforming various aspects of government operations, IT, and application delivery. Government agencies are using AI-powered automation to help with mission delivery, to build resilience, to upskill employees, and enhance trust in government.
To attract and retain a dedicated, talented workforce, agencies must say “the right things to the right people at the right time.”
Cloud computing can present identity-related risks that agencies aren’t ready for. They need visibility into their network’s security, the ability to be proactive rather than reactive, and the tools to respond before, during and after a cyberattack.
A new program in Wisconsin, called LicenseE, has vastly shortened the wait times and hassle associated with processing of applications and renewals. Now, people receive their licenses in under a week, on average.
Agencies today suffer from a “chaos of connectivity” — a morass of systems that are integrated to an extent, but don’t talk to one another — and that prevents agencies from easily accessing large swaths of data. A new platform that addresses all of an organization’s integration patterns can solve the problem.
It is possible to emerge from a crisis stronger and more resilient, with clearer priorities and cross-functional communication, and with a clearer eye for metrics that matter.
In Maryland’s most densely populated municipality, government planners are using geographic information system (GIS) technology, including interactive 3D models, to design innovative housing and land development projects.
Digital curb management is a little-known, but so very important, way for cities to manage delivery and parking logistics. Here’s what Seattle, with its 500 loading zones for package, food and supply deliveries, is doing.
Too much data is scattered across too many systems — but an integrated data management platform can help agencies save money, automate routine tasks, collaborate more easily and provide more personalized services.
Sometimes, the best thing a leader can do is let employees work things out for themselves, especially when it comes to data-related issues.