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.
The Trump administration has identified nearly a billion dollars of research and development spending from non-defense agencies as part of a supplement to the president’s FY 2020 budget request, nearly double what the government spent on this emerging technology three years ago.
The Navy is is offering $150,000 to individuals, academia or businesses as part of a challenge to find AI software that detects cyber attacks.