
<!--Ingeniux Dynamic Site Server. Version:10.3.176--><InsetPage ID="x4761" Name="Capabilities and Solutions" IsComponent="false" Changed="20250724T18:21:21" Created="20250521T17:15:41" ViewName="InsetPage" Published="20250730T22:23:38" SURL="/expertise/caia/caia-areas/capabilities-and-solutions" SiteBaseUrl="" Locale="" XPowerPath="/cna.org/Home/Expertise/CAIA/CAIA Areas/Capabilities and Solutions">
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  <XHTML ID="" Name="RowComponent" IsComponent="true" Changed="20250724T18:21:21" Created="20250521T17:15:41" SURL="/expertise/caia/caia-areas/capabilities-and-solutions" SiteBaseUrl="" Locale="" XPowerPath="/cna.org/Home/Expertise/CAIA/CAIA Areas/Capabilities and Solutions" COMPUID="db5d7020a5d82d4c96c6923190a0bfc2" Embedded="true" UID="db5d7020a5d82d4c96c6923190a0bfc2"><IGX_Categories Count="0" CategoryIds="" /><LingualMaps />
        <XHTML type="xhtml" UID="3dffc4f778854a4998cd412741531d21" label="XHTML" readonly="false" hidden="false" required="true" indexable="true" Height="" CIID="">&lt;p&gt;&lt;strong&gt;Capabilities and Solutions.&lt;/strong&gt; CNA builds custom AI models for mission-specific tasks, transforming large quantities of raw information into actionable insights that would otherwise be invisible. Machine learning techniques&amp;mdash;from deep learning to image classification and generative AI&amp;mdash;allow CNA to discover the hidden patterns embedded in large datasets, increasing efficiency while delivering personalized solutions to complex problems.&amp;nbsp;In congressional testimony, now-retired Admiral William Lescher praised CNA&amp;rsquo;s &amp;ldquo;exceptional data scientist group&amp;hellip;that uses data in incredibly powerful ways."&lt;/p&gt;
&lt;!--&lt;p&gt;&lt;a href="https://www.cna.org/our-media/podcasts/cna-talks/2024/09/cnas-large-language-model-morse-code"&gt;CNA's Large Language Model: Morse Code&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.cna.org/our-media/podcasts/cna-talks/2024/01/a-new-tool-to-protect-first-responders"&gt;A New Tool to Protect First Responders&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.cna.org/our-media/indepth/2024/10/meet-the-innovator-john-crissman-on-an-ai-tool-for-first-responders"&gt;John Crissman on an AI Tool for First Responders&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.cna.org/our-media/press-releases/2024/01-10"&gt;CNA Wins First Phase of U.S. Department of Transportation Intersection Safety Challenge&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.cna.org/our-media/press-releases/2025/5-5"&gt;CNA Holds Inaugural Idea Incubator Competition&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.cna.org/centers-and-divisions/ipr/jri/officer-safety/analytics"&gt;Using Analytics to Improve Officer Safety&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="https://www.cna.org/reports/2020/10/use-of-predictive-analytics"&gt;The Use of Predictive Analytics in Policing&lt;/a&gt;&lt;/p&gt;--&gt;</XHTML>
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        <LinkSet Title="" LinkIDS="x4331|x3641|x4348|x3566|x4721|x715" Name="Links" label="Links" UID="ce7962a65e7a42e9889d201ef64d398d"><Page ID="x4331" URL="our-media/podcasts/cna-talks/2024/09/cnas-large-language-model-morse-code" Schema="Podcast" Locale="" Changed="20251118T20:15:04" CategoryIds="500|547" Name="CNA's Large Language Model: Morse Code" Description="&lt;p&gt;&lt;span&gt;This episode covers the inception, development, and potential of CNA&amp;rsquo;s internal large language model, Morse Code.&lt;/span&gt;&lt;/p&gt;" PageTitle="CNA's Large Language Model: Morse Code" PageImage="/images/podcasts/CNA-Talks.webp" EpisodeID="33205487" EpisodeNumber="169" PublishedDate="20240925T17:08:00" IsComponent="false" /><Page ID="x3641" URL="our-media/podcasts/cna-talks/2024/01/a-new-tool-to-protect-first-responders" Schema="Podcast" Locale="" Changed="20251118T20:54:09" CategoryIds="489|72|73" Name="A New Tool to Protect First Responders" Description="&lt;p style=&quot;font-weight: 400;&quot;&gt;As cities across the country become more networked and connected with smart sensors, more data is available to first responders than ever before. But how can this data be interpreted efficiently in emergencies where every second counts?&lt;/p&gt;&lt;p style=&quot;font-weight: 400;&quot;&gt;In this episode, John Crissman and Shaelynn Hales from CNA and Godfrey Nolan, founder and CEO of RIIS LLC, join the show. We discuss their award-winning First Responder Awareness Monitoring during Emergencies (FRAME) System, which takes in data from these sensors, uses machine learning to interpret the information, and aggregates that into a common data view to increase emergency situational awareness.&lt;/p&gt;" PageTitle="A New Tool to Protect First Responders" PageImage="/images/podcasts/CNA-Talks.webp" EpisodeID="29736323" EpisodeNumber="152" PublishedDate="20240131T18:37:00" IsComponent="false" /><Page ID="x4348" URL="our-media/indepth/2024/10/meet-the-innovator-john-crissman-on-an-ai-tool-for-first-responders" Schema="Article" Locale="" Changed="20250731T02:53:45" CategoryIds="482|489|38|72" Name="Meet the Innovator: John Crissman on an AI Tool for First Responders" Description="CNA computer scientist John Crissman and his team developed a creative tool using machine learning and AI to improve situational awareness for disaster response." 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The Using Analytics to Improve Officer Safety work examines granular incident data from 2015–2019 from several local law enforcement agencies to identify incident characteristics (characteristics specific to the incident and related to officer tactical response) associated with officer assaults, injuries, and line-of-duty deaths. Using machine learning techniques, CNA is producing a risk assessment model to link incident characteristics with officer safety outcomes. This work also entails working with participating agencies to identify best practices and recommendations to reduce risks to officer safety in the line of duty." 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