The mission requirement, and overall sensitivity of federal data, necessitate more thought than just placing data in a public cloud.
Federal government security has reached an inflection point – and not one that has resulted in a decline of data attacks.
How does your organization use its data? Are you sitting on a goldmine that is not being used? Are you in data-overload mode? Or are you optimizing the value of your data to achieve agency goals and priorities?
How can healthcare organizations make use of genomic data to create personalized treatment?
To really move the needle in a way that sustainably transforms the organizational culture to a data-driven one, agencies need to progress beyond these initial ad-hoc use cases. They can do this by strategically harnessing the creativity and operational know-how of departmental staff to identify analytics opportunities enterprise-wide.
Ensuring that you implement artificial intelligence into your mission in a responsible manner can be a daunting task. While there is no silver bullet, being aware of the trade-offs empowers leaders to navigate the grey in a way that aligns with the values of the organization.
SAP’s Chris Atkins explains how modernization can help government solve problems with evidence and maintain a citizen-centric focus.
Between policy, guidelines, past experience and data, getting the answer to simple questions is a significant drain on precious time and resources. Can AI help?
Turning data into insights requires the right tools. Government agencies require simple, flexible solutions that also meet citizen expectations.
One of the ways federal agencies are modernizing their systems is by equipping staff with cloud computing capabilities.