5 Big Misconceptions About Automating Government Services
There are many benefits to automation in government but many concerns that arise as well. Here are five misconceptions about automating government services.
There are many benefits to automation in government but many concerns that arise as well. Here are five misconceptions about automating government services.
Learning a new language is akin to how cities should learn use data as an asset. Here’s how to adopt data as an asset strategy citywide.
These days we hearing about many things being delivered “as a service.” Recently, I got to moderate two days of discussions about mobility as a service.
Probing deeply into big data and pinpointing solutions to important problems demand a chief analytics officer (CAO), rather than a chief data officer (CDO). Both are essential to a smart city or smart business, but they are quite different.
Budgets are getting tighter and resources are being spread thin at the state and local level. One way for governments to stretch their diminishing dollars is to use data to make smarter decisions.
Accumulation of data is common for any organization — especially those in state and local governments. Learn how San Francisco tackles its data science.
This column is called “In Something We Trust.” It is for and about govies who wake up, gulp coffee and show up for another day.
Nebraska CIO Ed Toner shared his initial insights into his state’s centralization process and offered advice for future IT consolidators in government. Specifically, he offered four themes to consider as other states pursue centralization.
The size, scale and scope of state and local governments can vary wildly. But what are the biggest challenges that unite these varied organizations?
The National Association of State Chief Information Officers (NASCIO) recently partnered with the National Association of State Procurement Officers (NASPO) to create a State IT Procurement Negotiations roadmap. GovLoop sat down with Meredith Ward, Senior Policy Analyst at NASCIO, to hear what they learned from that process.