Federal government agencies are faced with an immense amount of data, with more pouring in every second. With so much information, keeping track of it all can be extremely challenging, particularly when there are bad actors seeking to take advantage of the data overflow. AI and machine learning can help.
Data can be extremely valuable to the way government achieves mission goals. But to reap that value, agencies must be able to do more than collect it; they must be able to analyze it.
When thinking about population health management nationally, health centers are an important piece of that puzzle – and data is driving their continuous improvement.
It’s an exciting era for those in government. Vivid satellite images, airborne drones and 3D technology have unlocked another realm of possibility for public service.
To the surprise of many, moving data to the cloud does not necessarily make it secure. Agency IT and security operations teams must still use cloud providers’ tools and processes, as well as their own existing infrastructure, to protect data.
For starters, keep in mind that your homepage should be well branded and easily navigable, but it’s infrequently the first page visitors are landing on.
GovLoop recently spoke with experts from AlphaSix Corporation about analytics’ power to combat problems like America’s raging opioid crisis.
Governments of all sizes have created data and analytics departments to assess what they have, coordinate communication between agencies and report stories that the numbers show.
Governments can deliver new, better and more effective services to citizens by adopting a data-driven strategy that enables real-time insight and analytics.
John Correllus, Deputy State Chief Information Officer and Chief Data Officer, shares how the state is embracing analytics to boost effectiveness and efficiency.
