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.
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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.
Nicholas Speece, the chief federal technologist at Snowflake, said the opportunity to use AI and machine learning to improve mission delivery across all industries, government and private sector, is substantial.
Moving into AI and machine learning is not something agencies can just jump into, they have to develop roadmaps, use cases and workforce skillsets to get to the benefits of these emerging technologies—better decision making.
Nearly every agency is discovering the potential benefits of applying advanced analytics and intelligence automation tools to their mission areas.
With the massive explosion of data being collected, stored, analyzed and put to use in the federal community, the capacity for humans to operate at such a scale is beginning to fall behind. So agencies are looking to technology to pick up the slack.
When it comes to data, it’s easy for federal managers to get caught up in the hype and put the cart before the horse.
The opportunities for federal financial managers to use RPA and other emerging technologies is great, but they also must overcome these and other challenges to take full advantage of this latest technology innovation.
Anthony Robbins, federal vice president at NVIDIA, discusses the leaps and bounds artificial intelligence is making and the ways it can improve both government operation and the private sector.
This program provides a progress report on machine learning and artificial intelligence in government.