Creating a Purpose-Driven Government With Data
SAP’s Chris Atkins explains how modernization can help government solve problems with evidence and maintain a citizen-centric focus.
SAP’s Chris Atkins explains how modernization can help government solve problems with evidence and maintain a citizen-centric focus.
Governments sit at the precipice of a digital, connected landscape. While they are uniquely positioned to create and carry out solutions to some of society’s most pressing problems, effectively implementing the organizational changes necessary to keep pace with the digital world remains a challenge.
Successful AI adoption requires forethought and preparation. Although AI itself requires a culture open to experimentation and learning from mistakes, when it comes to ethics, risk, and compliance, you can’t simply wing it.
Agencies are looking for better approaches to data storage and backup. They are are shedding those complex, legacy multi-tiered solutions for simplified data management that still has physical support but is built for virtualized environments, and native cloud capabilities.
Combining the computational power of artificial intelligence (AI) with the critical thinking ability of humans is the ideal solution for organizations looking to accelerate the discovery of actionable insights from their data assets.
Data sharing and integration are the keys to breaking down silos and achieving the smart connections necessary for sustainability in a digital era. But what’s the difference between the two, and why does it matter?
Forms are one of the main sources of information intake for government agencies, and yet they’re often thrown together haphazardly – with overutilized templates or poorly considered practices.
If you learn nothing else from this blog, remember this: The most important step in adding AI to any process is correctly labeling the training data.
Backlogs can seem daunting. Artificial intelligence can help. But how can you get started? Read on to find out.
How exactly can an agency secure data with an emphasis on identity and access management? A panel at IBM’s ThinkGov centered on this question.