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.
How the agency curates, grows, stores and manages its data will determine how effective it will be at deploying AI/ML applications, according to Gary Hix, the chief technology officer at Hitachi Vantara Federal.
The pandemic is a recent example of new applications for machine learning and data analytics in national security.
Speed of decision-making will be an increasingly important capability for Defense Department planners. According to Josh Wilson, the senior vice president of service lines and technology at LMI, those capabilities will, in turn, require the insertion of artificial intelligence and machine learning into their basic functionality.
In today's Federal Newscast, Senators Gary Peters (D-Mich.) and John Thune (R-S.D.) introduced bipartisan legislation to help the government remain competitive in employing artificial intelligence talent.
While some agencies have already begun leveraging artificial intelligence and machine learning to perform analytics and begin putting that data to use, many others are still exploring use cases and only just becoming aware of the possibilities.
One area that is particularly ripe for AI adoption is the transportation sector.
Hosted by Dr. Richard Shurtz and Jim Russ. Sponsored by Stratford University. Using artificial intelligence to tell the story of the Holocaust. And we get to know Elon Musk.
Federal News Network’s Tom Temin interviewed Elliot to better understand the impediments to taking AI to production levels, and the best practices for overcoming them.
Kirke Everson, a principal and government intelligent automation leader at KPMG, said a lot of agencies are still in the early stages of applying intelligent automation to their business processes.