https://www.summitllc.us/gravity-test-blog test en Thu, 15 Oct 2026 15:46:12 GMT 2026-10-15T15:46:12Z en https://www.summitllc.us/gravity-test-blog/test-blog <div class="hs-featured-image-wrapper"> <a href="https://www.summitllc.us/gravity-test-blog/test-blog" title="" class="hs-featured-image-link"> <img src="https://www.summitllc.us/hubfs/shutterstock_2709354799.jpg" alt="Test Blog" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>The recent <a href="https://www.actiac.org/">American Council for Technology - Industry Advisory Council (ACT-IAC)</a> AI Hackathon united technologists, data scientists, and public sector leaders in tackling a top government challenge<span style="font-family: Arial, Helvetica, sans-serif;">—</span>using AI responsibly to boost mission outcomes. Team Summit joined this competition to explore how modern machine learning and cloud-native architecture can drive federal agencies from reactive processes to proactive, data-driven decision-making.</p> <p><span style="line-height: 115%;">For this challenge, Team Summit chose a Centers for Medicare &amp; Medicaid Services (CMS) use case: Design a solution to help CMS identify anomalous provider billing behavior using publicly available data, without relying on pre-labeled fraud cases. In just two weeks, we built PIPER—a working prototype showcasing AI’s power to boost program integrity at scale.</span></p> <div class="hs-featured-image-wrapper"> <a href="https://www.summitllc.us/gravity-test-blog/test-blog" title="" class="hs-featured-image-link"> <img src="https://www.summitllc.us/hubfs/shutterstock_2709354799.jpg" alt="Test Blog" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>The recent <a href="https://www.actiac.org/">American Council for Technology - Industry Advisory Council (ACT-IAC)</a> AI Hackathon united technologists, data scientists, and public sector leaders in tackling a top government challenge<span style="font-family: Arial, Helvetica, sans-serif;">—</span>using AI responsibly to boost mission outcomes. Team Summit joined this competition to explore how modern machine learning and cloud-native architecture can drive federal agencies from reactive processes to proactive, data-driven decision-making.</p> <p><span style="line-height: 115%;">For this challenge, Team Summit chose a Centers for Medicare &amp; Medicaid Services (CMS) use case: Design a solution to help CMS identify anomalous provider billing behavior using publicly available data, without relying on pre-labeled fraud cases. In just two weeks, we built PIPER—a working prototype showcasing AI’s power to boost program integrity at scale.</span></p> <img src="https://track.hubspot.com/__ptq.gif?a=355318&amp;k=14&amp;r=https%3A%2F%2Fwww.summitllc.us%2Fgravity-test-blog%2Ftest-blog&amp;bu=https%253A%252F%252Fwww.summitllc.us%252Fgravity-test-blog&amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "> COVID-19 Thu, 15 Oct 2026 14:53:35 GMT alan.salzberg@summitllc.us (Alan Salzberg) https://www.summitllc.us/gravity-test-blog/test-blog 2026-10-15T14:53:35Z