<p><span class="tabs2_section tabs2_section_0 tabs2_section0 " data-header-only="false" tab_caption="Requested Item" tab_caption_raw="" id="section_tab.dde92facc0a8016501f4c4a351133247" data-section-id="dde92facc0a8016501f4c4a351133247"><span id="section-dde92facc0a8016501f4c4a351133247" data-header-only="false" class="section sn-stream-section"><span class="sn-widget-textblock-body sn-widget-textblock-body_formatted snuified">CNA's artificial intelligence and machine learning expertise turns mission intent into responsible and reliable capabilities that enhance the safety and security of National Airspace System operations. We invest in state-of-the-art AI algorithms, machine learning models, and analytic platforms, allowing our analysts to efficiently derive deep insights from vast amounts of data. We use machine learning to build runway configuration decision aids and user-ready tools. To evaluate data readiness and operational constraints, federal agencies can implement our lifecycle risk framework: Performance, Architecture, Criticality, and Evolvability (PACE). </span></span></span></p>
bluenone
Blurbs
/images/expertise/CAIA/Runway_thumbnail.png
blue3
false
false
nvuz1qsn31z5ffzirn4tc0oxhttps://www.cna.org/x4860.xmlhttps://www.cna.org/centers-and-divisions/ipr/esm/aviation/aviation-areas/artificial-intelligence-and-machine-learningMozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)