Analytics Beyond Numbers: How AI Opens Up Other Types of Data
Imagine you have a massive cache of digital family photos, and you’re looking for images of your child’s kindergarten graduation.
Imagine you have a massive cache of digital family photos, and you’re looking for images of your child’s kindergarten graduation.
It wasn’t just a lack of automation that once held the agency back. It was the way it thought about and used data.
If your data’s a mess when you move it to the cloud, all you get is a cloud-based mess.
Zero trust at its best is invisible, meaning it doesn’t create barriers for work but rather enhances the user experience through intentional security practices.
For 25 years, the Government Accountability Office (GAO) has labeled cybersecurity a high risk. But a lot has changed since it made the list in 1997.
Agencies increasingly are tapping into the power of data and analytics to support better citizen service. How best to seize the moment?
“We don’t know what the next big thing is that we will be able to do with data.”
Agencies want to execute what they’ve been told about data. And that requires an organizational culture that is built for it.
Sooner or later, every organization needs to realize that data-driven decision-making cannot be a do-it-yourself project.
It doesn’t matter if you can knock down all the silos within an organization. If you give people insights, can they use them?