<?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/e24cc89ca887486791e877013096d91b&quot; frameborder=&quot;0&quot; width=&quot;1722&quot; height=&quot;1291&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1291</height><width>1722</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1291</thumbnail_height><thumbnail_width>1722</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e24cc89ca887486791e877013096d91b-4e1569e00bd4e99e.gif</thumbnail_url><duration>826.446</duration><title>Optimizing Content Retention Across Your SaaS Applications</title><description>In this video, I discuss the challenges organizations face with managing the growing content across their 150 to 300 plus SaaS applications, which can lead to increased costs, security risks, and issues with AI project outcomes due to outdated information yielding bad answers, lower trust, and unacceptable ROI. 

I introduce Content Retention Manager, designed to help you effectively manage and automate your company&apos;s retention policies across your SaaS estate. I demonstrate how to set up retention policies, data classifications, and user permissions, emphasizing the importance of proper delegation and audit trails for defensibility. I encourage you to explore the free Lite version of our application to model your retention policies safely with zero data loss risk, and ask you to try it via Atlassian Marketplace soon. Please consider how these tools can enhance your organization&apos;s content management strategy, compliance processes and audits, and better AI outcomes.</description></oembed>