Officials say a more “integrated” approach is needed to truly transform tradecraft using artificial intelligence technologies.
A lot of the data that government produces needs to be rated; safe to distribute, controlled but unclassified, or maybe secret and classified. That's simplifying this huge but never-ending task. Now the Defense Department has launched a challenge prize program to develop an artificial intelligence approach to automating some of this tedious task.
IBM federal has been many things over the years. Lately, it's been headed by a man with a unique perspective, an Army career officer, then chief information officer of the Navy and of the Defense Department. Terry Halvorsen has seen IT investment and digital transformation from several angles.
Lawmakers are on the cusp of agreeing to a fiscal year 2022 spending agreement with a big increase for national defense.
During this webinar, you will learn how federal IT practitioners from the DoD Joint Artificial Intelligence Center, Labor Department, Department of the Navy and the Office of the Secretary of Defense are implementing strategies and initiatives around machine learning and artificial intelligence.
The House Armed Services Committee advanced a defense policy chock full of amendments addressing AI, Buy American, pay parity, civilian control of the military and other issues.
Agencies often have data stored in multiple silos and data lakes, making discovery difficult. In addition, that data is rarely in standardized formats, especially with regard to formats usable by AI and ML. But by applying DevOps principles to their data strategies, they can overcome this stumbling block much quicker, facilitating implementation of AI and ML tools.
The demand for a digital-first strategy at federal agencies has only increased since 2020. The pandemic kicked off a massive migration to the cloud; all of the agencies that had not explored it yet, or…
The Bureau of the Fiscal Service is focused on simplifying its data footprint to make its data more secure while also applying more security to it.
Customs and Border Protection is ahead of schedule with its cloud migration, having moved nearly half of its inventory of applications to the cloud.
This content is written by Jim Richberg, the public sector CISO for Fortinet Federal. I spent a lot of years working for the Federal government. Long enough that I can tell stories about technology few…
Artificial Intelligence is widely used, but how do we know it's working appropriately? What prompted the Government Accountability Office (GAO) to develop an AI Accountability Framework? What are the core principles of this framework? Join host Michael J. Keegan as he explores these questions and more with Taka Ariga, Chief Data Scientist and Director of the Innovation Lab at GAO and Steve Sanford, Managing Director, Strategic Planning and External Liaison at GAO.
Everyone got a taste of what issues with supply logistics looked like during the pandemic, whether it was toilet paper or slow delivery times, things were not the same. However, new technologies are maturing that…
Artificial intelligence is a powerful technology, but it’s not a magic salve you can apply to a process to make it better. If anything, AI – and the related machine learning, robotic process automation and even data analytics technologies – requires more attention than ever to an eternal basic of information technology deployment.
Managing artificial and machine learning application projects is in large measure a matter of managing data connected to them. Not only curating data, but also storing it and moving it around consistent with optimal availability cost control. Therefore, it’s important for agencies to spend some effort designing the infrastructures for systems hosting AI development and training data.