<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/06e099a14cc84667bac63cd3d6b6df2c&quot; frameborder=&quot;0&quot; width=&quot;2034&quot; height=&quot;1525&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1525</height><width>2034</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1525</thumbnail_height><thumbnail_width>2034</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/06e099a14cc84667bac63cd3d6b6df2c-6dd27168907b2380.gif</thumbnail_url><duration>1223.872</duration><title>Transforming Legacy Systems: Generating Stakeholder Review for Modernization with Sage AI Technologies</title><description>In this video, we walk you through a modernization stakeholder review report generated by Sage AI Technologies, focusing on how we tackle the challenge of legacy system modernization. We analyzed a 48-year-old COBOL program with 1.36 million lines of code, highlighting that 70% of large-scale modernizations fail due to a lack of understanding of existing systems. Our approach includes cognitive precompile, affinity-driven migration, and built-in hallucination mitigation, allowing us to generate comprehensive modernization stakeholder review reports in about two hours, and migrated new application code 1 hour after that. I encourage you to visit sagetech.ai slash modernization to explore the full modernization stakeholder review report and see how our process can streamline your modernization efforts.</description></oembed>