Artificial intelligence
Google to Help NOAA Use AI for Environmental Prediction
The National Oceanic and Atmospheric Administration has partnered with Google to explore how artificial intelligence and machine learning can enhance the use of satellite and environmental data.
NOAA's National Environmental Satellite, Data and Information Service signed a three-year other transaction authority with Google to pilot specific AI and machine learning projects. Their goal is to improve NOAA's environmental monitoring, weather forecasting, climate research and technical innovation.
“Strengthening NOAA’s data processing through the use of big data, artificial intelligence, machine learning, and other advanced analytical approaches is critical for maintaining and enhancing the performance of our systems in support of public safety and the economy," said NOAA acting Administrator Neil Jacobs.
The partners will first focus on developing a small-scale AI system that will later support efforts to develop full-scale prototypes.
NOAA said that if the project is successful, it will serve as a leap in the administration's ability to reliably predict events, including extreme weather events like hurricanes and tornadoes.
Under the OTA deal, Google will offer hands-on training opportunities to NOAA's workforce. NOAA said it aims to adopt new technologies and approaches to increase efficiency through partnerships, training and research and development.
“Our goal is to increase scientific impact, and improve the efficiency and effectiveness of environmental and satellite data by leveraging Google Cloud’s infrastructure and AI/ML know-how. All this will help improve weather forecasting, research and unlock innovation," said Mike Daniels, vice president for global public sector at Google Cloud.
NOAA previously developed strategies for developing AI and big data technologies to accelerate their adoption across the agency. The strategies include a focus on partnerships and transparency.
Category: Partnerships and Executive Moves
Tags: AI artificial intelligence big data Google machine learning Mike Daniels National Oceanic and Atmospheric Administration Neil Jacobs NESDIS NOAA Other Transaction Authority Partnerships and Executive Moves strategy training workforce