Nathan Tierney is the Deputy CIO and Chief People Officer for the Office of Information Technology (OIT) in the Department of Veterans Affairs (VA). A veteran of the Army Special Forces, roughly five years in private sector leadership roles and author of books on health care value management, here are some lessons he’s learned about… Read more »
We don’t know what the next technology innovation will look like, or what specific benefits it will bring to government agencies, but we can say with some confidence that it will probably depend on high-quality government data.
Discover some of the challenges agencies are facing while meeting security, governance and compliance requirements.
This article shares the benefits of using virtualization in a cloud environment.
The allure of building your own generative AI applications may be irresistible — but it’s not as straightforward as it seems.
Vendors offer a bewildering array of GenAI solutions, all of which seem very similar. Some agencies have paused on evaluations to foster consensus, but the question remains: How can government agencies determine whether it is possible to deploy an effective GenAI solution today?
Artificial intelligence (AI), unlike other forms of automation, can learn and generate ideas that elude humans. But what does AI “learning” actually mean? Here are the basics.
Artificial intelligence is not a singular technology — there are, in fact, many types of AI, each with unique uses and concerns for agencies to consider.
Across government, innovation is happening at the edge, leveraging cloud, artificial intelligence (AI), machine learning (ML) and related technologies.
The answer engine is a groundbreaking solution that harmonizes the power of large language models — such as ChatGPT — with the irreplaceable insights that knowledge management professionals can offer.
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