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        <title>HawkEye 360 Salon Breakfast Podcast</title>
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        <copyright>All rights reserved.</copyright>
        <itunes:author>Stacey Bruzzese</itunes:author>
        <itunes:summary>This podcast features discussion from industry experts in the space-enabled defense technology industry from The HawkEye 360 hosted breakfast events at Space Symposium.</itunes:summary>
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        <description><![CDATA[<p>This podcast features discussion from industry experts in the space-enabled defense technology industry from The HawkEye 360 hosted breakfast events at Space Symposium.</p>]]></description>
        
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            <itunes:name>Stacey Bruzzese</itunes:name>
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                <itunes:title>AI That Fits The Mission</itunes:title>
                <title>AI That Fits The Mission</title>

                
                
                <itunes:author>Stacey Bruzzese</itunes:author>
                
                <description><![CDATA[<p>Artificial intelligence is everywhere in space and defense conversations, yet too often the discussion stops at promises, risks, or model performance. AI creates value only when it aligns with the mission. As space-based remote sensing systems scale and operating environments grow more contested, the question is no longer whether to use AI, but how to design it to work within real constraints—including latency, bandwidth, trust, and existing workflows. This discussion focuses on what delivers results: mission-fit AI that supports analysts and operators, brings decision support closer to the sensor, and delivers actionable insight when timing matters as much as accuracy.</p>]]></description>
                <content:encoded>&lt;p&gt;Artificial intelligence is everywhere in space and defense conversations, yet too often the discussion stops at promises, risks, or model performance. AI creates value only when it aligns with the mission. As space-based remote sensing systems scale and operating environments grow more contested, the question is no longer whether to use AI, but how to design it to work within real constraints—including latency, bandwidth, trust, and existing workflows. This discussion focuses on what delivers results: mission-fit AI that supports analysts and operators, brings decision support closer to the sensor, and delivers actionable insight when timing matters as much as accuracy.&lt;/p&gt;</content:encoded>
                
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                <pubDate>Wed, 01 Jul 2026 18:14:08 &#43;0000</pubDate>
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