Rewriting record retention for the AI era

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Modernizing retention schedules and auditing AI systems for today’s regulatory environment.

September 29, 202650  min readUnlock All Premium Resources
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Generative AI is flooding corporate workflows with prompts, iterations, and synthetic outputs—leaving traditional retention schedules dangerously behind. If your governance policies haven't adapted to this explosion of non-traditional data, your organization faces critical regulatory and legal blind spots. Watch this pre-recorded panel discussion as industry experts break down how to modernize your frameworks, mitigate risk, and safely navigate the shifting regulatory landscape.

What you will learn:
  • Modernize retention schedules: update existing frameworks to accurately capture, classify, and manage AI inputs, prompts, and synthetic outputs.
  • Audit AI systems for compliance: take practical steps to align your operations with emerging global rules, including the EU AI Act and UK Data (Use and Access) Act.
  • Transition to data estate governance: move beyond legacy, siloed records management toward a holistic, enterprise-wide strategy for all data assets.