The terms ‘automation, ‘artificial intelligence,’ and ‘machine learning’ are hot topics in a lot of government technology conversations. These terms are often used interchangeably and sometimes incorrectly, which can be confusing. Let’s take a look at what this tech jargon means.
Across the board, government agencies are looking to implement tools that can increase productivity in any way possible. Artificial Intelligence (AI) has found its way to the top of the list, with many agencies looking to incorporate it to improve the work that their staff is able to do.
While the pace of technological advancement is exiting, it poses challenges for government. We are constantly having to evolve to meet citizens’ expectations, making the “future of financial management” a moving target.
Here are five ways the public sector can start thinking about incorporating artificial intelligence, automation and chatbots.
In a recent GovLoop online training, we learned the importance of cultural fit for employee retention as well as using AI to retain and recruit talent.
At a recent roundtable with Genesys and GovLoop, we heard from several experts in the field of automation and artificial intelligence. These leaders, as well as many public servants in the room, shared their experiences with AI and chatbots.
With the increase in technological innovation, agencies are looking for new ways to increase citizen engagement and satisfaction. Investing in artificial intelligence (AI) and chatbots may be a way to transform the way organizations interact with citizens.
The advent of spatial technology has automated spatial problem solving. As a result, we are seeing a rebirth in the age of discovery.
The National Institutes of Health and Bureau of Labor Statistics are among the agencies using AI to save time and money and free up employees to solve more complex problems.
As government agencies look to modernize their IT environments, they face the challenge of implementing a digital transformation strategy that will allow them to: update and rationalize legacy technology systems; take advantage of the benefits of a cloud environment; foster a culture that results in faster, higher quality release cycles and continually lift the benchmark… Read more »
