Those guardrails include defining what automated technology the government wants to focus on and categorizing it by how it helps and assists with repetitive tasks.
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.
The Health and Human Services Department (HHS) awarded its first blockchain contract as an acquisition vehicle to streamline the notoriously lengthy federal procurement process.
Trump’s order instructs all federal agencies to prioritize and allocate funding for AI programs that serve their individual missions.
Chatbots use AI to simulate human conversation, and agencies nationwide are finding them valuable for constituent and information services.
In a recent interview, Chief Technology Officer Bob Osborn at ServiceNow explained that this interaction must become the new norm for government. He explained that rising citizen demands make it imperative that agencies pursue new solutions, including intelligent agents, to create seamless experiences for constituents.
What’s the big deal about chatbots? Check out GovLoop’s explainer video to find out!
Federal government agencies are faced with an immense amount of data, with more pouring in every second. With so much information, keeping track of it all can be extremely challenging, particularly when there are bad actors seeking to take advantage of the data overflow. AI and machine learning can help.
Reputation management is a critical component to business success the world over, so why are government agencies failing to manage their own reputation?
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.