As government agencies hash out the challenges that come with making better use of their data, first understanding what they have and where to find it is key.
Posts By Sherin Shibu
Laws such as 21st Century IDEA do not apply to state and local governments, but that hasn’t stopped them from forging their own paths.
The mission requirement, and overall sensitivity of federal data, necessitate more thought than just placing data in a public cloud.
Where do agencies stand with adopting artificial intelligence, which has immense potential, and where do they want to end up?
Cloud migration is more than just a technical change. It is a transformative process that moves beyond the traditionally accepted mindset of infrastructure as a physical asset.
The nature of federal work is changing, and OPM wants to ensure that agencies can adequately equip federal workers to adapt.
Agencies need to improve their hiring process and how they retain employees. New policy recommendations offer practical ways to affect change.
Federal agencies have been measuring customer satisfaction but benchmarking results across agencies has not always been possible.
What propels true transformation is understanding what citizens want from government services and how technology and process improvements can meet those needs.
DISA announced a new prototype effort that will use machine learning and AI to improve decision-making in the security clearance process.