DataScience Show Podcast

Privacy Budget: An Executive Playbook for Managing Data Exposure in Enterprise AI


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Enterprises routinely trade velocity for data exposure without an executive-level ledger to decide what to protect, monitor, or accept. In this 20-minute monologue Mirko introduces the 'Privacy Budget'—a simple, durable governance construct that treats data exposure like a spendable resource. He opens with a concise vignette where untracked customer data access created regulatory callbacks and brand erosion, then presents a non-technical playbook: how to quantify exposure (sensitivity-weighted surface area), set budget caps per product line, risk-rank projects by downstream exposure and business value, and choose mitigations (minimization, masking, synthetic augmentation, contractual limits). Listeners receive board-ready metrics (exposure velocity, budget burn rate, high-risk cohort count), a prioritized 30–90 day checklist to inventory top exposures, and procurement/legal language to bake privacy budgets into vendor contracts. Practical, decision-focused guidance so executives can fund privacy controls where they matter most without halting innovation. CTA: download the Privacy Budget Checklist at datascience.show/privacy-budget. That’s the difference between models and value.

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DataScience Show PodcastBy Mirko Peters