Not every job is appropriate for telework. But many federal agencies are finding out that it can be done on a far greater scale than had been anticipated.
Ask any IT manager across government what challenges they face, and somewhere in the top three they’ll tell you how hard it is to find and hire talent
Cloud migration may have started out as a cheaper, more effective way for federal agencies to store and manage data, but it’s evolved into much more in the past decade.
Agencies need a holistic approach that allows them to standardize policies, procedures, governance and workflows across their cloud environments.
The future of work isn’t about using machines to replace people – it’s about using technology tools to augment what people can do.
New technologies like automation and the cloud are changing the way work is getting done, and federal workforce policies need to change to accommodate them.
Shifting the majority of the federal workforce to telework overnight forced agencies to improve capacity, and shift workloads, applications and data to the cloud on a massive scale in the name of continuity of operations.
As these employees retire, federal agencies potentially face a significant loss of institutional knowledge that will affect every aspect of government.
If data is the new oil, the federal government is sitting on huge reserves, but is only just now figuring out how to refine it.
One of the ripest opportunities for predictive analytics in the federal government is fraud and abuse.
What constitutes an effective AI strategy for a government agency?
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