Data by itself doesn’t solve problems or bring value to an organization. We need to move beyond the data, and work on harnessing its value to the organization.
Posts Tagged: machine learning
While AI provides significant advantages, it can be challenging to adopt without the right computing and development resources to enable it. Many government agencies, however, still struggle with legacy and outdated IT infrastructures. That’s why a trusted and robust cloud infrastructure is a critical component of the DoD’s journey to AI and machine learning.
The Federal Data Strategy will help the U.S. government’s workforce better manage vast amounts of information.
Algorithms play an important part of our every day lives and will continue to grow and expand. Here’s what algorithms and the future of government could look like.
You want to hear a secret? City governments are still at the beginning stages of understanding how best to optimize the use of machine learning (ML) algorithms to make city services more efficient. Here’s why.
The advent of spatial technology has automated spatial problem solving. As a result, we are seeing a rebirth in the age of discovery.
Agency leaders and program management professionals must seek practical, secure, and effective methods to extract the valuable information captured in their data repositories — from legacy systems to real-time data streams.
Though innovation is necessary for agencies to continue to deliver on their missions, it is often difficult for new technologies to take hold in government.
In the private sector, there is no shortage of examples of successful industry disruptors. However, the public sector faces a unique challenge: How do you keep pace with private industry? How do you innovate in a market that is moving very quickly, especially when it comes to technology?
We sat down with machine learning expert Angela Zutavern to understand which agencies are leading in AI, tips for procuring AI capabilities and what this means for the future of government jobs.