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.
Advanced AI solutions require robust data pipelines to transform raw data into business value. Here’s how.
While the data revolution can seem at odds with the pace of physical infrastructure development and the need for careful planning and consistency, the use of data can move the needle in transportation departments in beneficial ways.
The federal government announced a new initiative on Friday that moves shared service missions into central offices to standardize purchasing.
Agencies are seeking innovative ways to boost internal efficiencies, while also improving how they manage and safeguard data.