Agencies are looking for better approaches to data storage and backup. They are are shedding those complex, legacy multi-tiered solutions for simplified data management that still has physical support but is built for virtualized environments, and native cloud capabilities.
If your agency wants to optimize access and security around its data, it should look to a data strategy. That strategy has to occur on a hybrid cloud-enabled, multi-modal data and analytics platform.
Data sharing and integration are the keys to breaking down silos and achieving the smart connections necessary for sustainability in a digital era. But what’s the difference between the two, and why does it matter?
How can you reconcile data to have it available in the cloud so the right people can access it, securely, at the right time, to make thoughtful decisions that benefit mission outcomes?
Learn more about Operations Research, the discipline of applying advanced analytical methods to inform better decisions, primarily to optimize organizational operations through a scientific methodology.
Forms are one of the main sources of information intake for government agencies, and yet they’re often thrown together haphazardly – with overutilized templates or poorly considered practices.
If you learn nothing else from this blog, remember this: The most important step in adding AI to any process is correctly labeling the training data.
The continued evolution of data transparency requires that governments move data from informing to enabling stakeholders. Pairing modern technology with the timeless art of storytelling is a key way to overcome current public sector challenges and solve real-world problems.
In 2017, hackers accessed the personal data of nearly half of the U.S. population. The data was taken from Equifax, a CRA.
How exactly can an agency secure data with an emphasis on identity and access management? A panel at IBM’s ThinkGov centered on this question.