Rewriting record retention for the AI era
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Modernising retention schedules and auditing AI systems for today’s regulatory environment.

Summary
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 organisation faces critical regulatory and legal blind spots. Watch this pre-recorded panel discussion as industry experts break down how to modernise your frameworks, mitigate risk, and safely navigate the shifting regulatory landscape.
What you will learn:
- Modernise 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.
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