{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/06e099a14cc84667bac63cd3d6b6df2c\" frameborder=\"0\" width=\"2034\" height=\"1525\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1525,"width":2034,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1525,"thumbnail_width":2034,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/06e099a14cc84667bac63cd3d6b6df2c-6dd27168907b2380.gif","duration":1223.872,"title":"Transforming Legacy Systems: Generating Stakeholder Review for Modernization with Sage AI Technologies","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."}