A Clear Definition of Machine Learning
There’s a lot of buzz about machine learning in government today, given its potential to improve operations, cut costs and produce better program outcomes. But what exactly is it?
There’s a lot of buzz about machine learning in government today, given its potential to improve operations, cut costs and produce better program outcomes. But what exactly is it?
More than a third of the Treasury Department workforce will be impacted by AI, and close to a third of the Government Publishing Office will be impacted.
Under Chief Digital Officer Nikhil Deshpande’s leadership, Georgia’s digital offerings have evolved to meet the needs of its constituents.
San Jose Chief Innovation officer Shireen Santosham is an excellent example of the value this position can bring.
The LAB.Ges, an innovation lab from Brazil, proposed a complex challenge: teach all of their public servants in Design Thinking. And they did it.
There is a long-held belief that innovation and government just don’t fit together. The risk-averse nature of the public sector juxtaposed with the near necessitation of risk in private sector innovation has made many people believe that things will just stay the way they are in government. They’re wrong.
Indiana Chief Data Officer Darshan Shah leads the state’s Management Performance Hub, an innovative agency using data to improve policy.
Public sector innovation is constantly shrouded in mystery. This is partially because we lack a common definition and understanding of what exactly is public sector innovation is.
To face these new issues — such as social expectations, complex public policies — there is a growing need for the public sector to innovate.
We are pursuing four pillars of reinvention for a citizen-centric government: culture, working as one, the citizen experience and digital transformation.