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DTSTAMP:20261008T063134Z
STATUS:CONFIRMED
DTSTART:20260917T140000Z
DTEND:20260917T150000Z
SUMMARY:From data loss to bad AI decisions: The SaaS protection gap
DESCRIPTION:https://video.keepit.com/from-data-loss-to-bad-ai-decisions \n\nSaaS applications are now used across all business functions – sales, \nmarketing, revenue operations, finance and HR. These apps host \ncritical business data, compliance evidence, and the data that \nAI-enabled workflows depend on — yet most organizations don't realize \nthe need to back up that data themselves and still rely on SaaS-native \ndata protection, retention, and platform availability as their \nstrategy. This webinar will explore why SaaS fundamentally changes the \nrequirements for the data protection model, what these gaps mean for \nrecoverability in practice, and what it takes to protect not just data \nbut the metadata, permissions, versions, and business context that \nmake a full restore possible. We'll also look ahead at what the \nAI-first era means for SaaS data integrity and walk through a \npractical framework for evaluating your current approach against real \nrecovery requirements. \n\nKey takeaways: \n\n- Why SaaS changes the requirements for data protection \n- What recovery readiness really means in a SaaS environment — and how \nto tell if you have it \n- How the AI-first era is raising the stakes for SaaS data integrity, \nand what a practical evaluation framework looks like \n\nRegister now to save your spot!\n\n\nCan’t join us live? Register anyway, and we’ll send you the recording \nafterward.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p><a href='https://video.keepit.com/from-data-loss-to-bad-ai-decisions'>From data loss to bad AI decisions: The SaaS protection gap</a></p><p><p style="text-align:left;">SaaS applications are now used across all business functions – sales, marketing, revenue operations, finance and HR. These apps host critical business data, compliance evidence, and the data that AI-enabled workflows depend on — yet most organizations don't realize the need to back up that data themselves and still rely on SaaS-native data protection, retention, and platform availability as their strategy. This webinar will explore why SaaS fundamentally changes the requirements for the data protection model, what these gaps mean for recoverability in practice, and what it takes to protect not just data but the metadata, permissions, versions, and business context that make a full restore possible. We'll also look ahead at what the AI-first era means for SaaS data integrity and walk through a practical framework for evaluating your current approach against real recovery requirements.&nbsp;</p><p style="text-align:left;"></p><p style="text-align:left;">Key takeaways:&nbsp;</p><ul><li dir = "auto">Why SaaS changes the requirements for data protection&nbsp;</li><li dir = "auto">What recovery readiness really means in a SaaS environment — and how to tell if you have it&nbsp;</li><li dir = "auto">How the AI-first era is raising the stakes for SaaS data integrity, and what a practical evaluation framework looks like&nbsp;</li></ul><p style="text-align:left;"></p><p style="text-align:left;">Register now to save your spot!  <br></p><p style="text-align:left;">Can’t join us live? Register anyway, and we’ll send you the recording afterward.&nbsp;</p></p></body></html>
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DESCRIPTION:From data loss to bad AI decisions: The SaaS protection gap
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