{"id":37673,"date":"2025-03-10T21:03:40","date_gmt":"2025-03-10T21:03:40","guid":{"rendered":"https:\/\/one.sightlinemg.com\/c4isrnet\/uncategorized\/2025\/03\/10\/geospatial-intelligence-agency-aims-for-more-ai-resources-in-2025\/"},"modified":"2026-08-08T01:16:26","modified_gmt":"2026-08-08T01:16:26","slug":"geospatial-intelligence-agency-aims-for-more-ai-resources-in-2025","status":"publish","type":"post","link":"https:\/\/one.sightlinemg.com\/c4isrnet\/artificial-intelligence\/2025\/03\/10\/geospatial-intelligence-agency-aims-for-more-ai-resources-in-2025\/","title":{"rendered":"Geospatial-intelligence agency aims for more AI resources in 2025"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The National Geospatial-Intelligence Agency is making a concerted effort to accelerate its artificial intelligence efforts over the next year, creating new AI leadership roles and pushing more resources toward its computing infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">NGA\u2019s mission is to turn <a href=\"https:\/\/www.c4isrnet.com\/battlefield-tech\/space\/2024\/05\/06\/national-geospatial-intelligence-agency-creating-space-intel-hub\/\" target=\"_blank\">data from satellites<\/a>, radars and other sources into usable intelligence for military decision makers and operators. Given that mission and its lead role in the Defense Department\u2019s<a href=\"https:\/\/www.c4isrnet.com\/artificial-intelligence\/2023\/05\/22\/geospatial-intelligence-agency-making-strides-on-project-maven-ai\/\" target=\"_blank\"> high-profile Maven data and image processing system<\/a>, AI has long been a part of the NGA\u2019s focus.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But NGA Director Vice Adm. Frank Whitworth said this week he wants NGA to commit more funding toward AI efforts and establish new standards and leadership roles that allow it to better leverage the technology.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One of NGA\u2019s biggest needs in this area, Whitworth said Monday at the Satellite Conference in Washington, is funding for the computing power that\u2019s required to run large-scale AI models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cWe need to ensure that as we get additional models and we run inference on those models that we have the compute needed to do that,\u201d he said, noting without that supporting infrastructure, NGA\u2019s data processing rates could start to lag.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The agency also needs to invest more in data labeling, which is the process of describing or cataloging raw data to teach and improve the performance of AI models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Whitworth said he\u2019s having good discussions with the Defense Department and the Director of National Intelligence about funding and he\u2019s \u201cconfident\u201d NGA will get the resources it needs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Also at the top of Whitworth\u2019s list of goals for this year is establishing stronger AI leadership within NGA. Along those lines, the agency has created two new director positions to oversee AI standards and programs and an executive director who will lead AI operations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Whitworth also wants NGA to make progress on establishing a standardized government framework for evaluating risk within AI models, building trust between analysts and the AI systems they\u2019re working within and improving its ability to monitor adversary activity.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Among NGA&#8217;s priorities are more funding for AI compute infrastructure and more emphasis on building AI trust and expertise within its 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