EPISODE · Jul 17, 2026 · 8 MIN
Data Contracts for Enterprise AI: From SLAs to Trust
from DataScience Show Podcast · host Mirko Peters
This episode gives executives a practical, operational roadmap for data contracts: formal agreements that define ownership, quality SLAs, access policies, and observability for data products that power AI at scale. Mirko frames why data contracts are not a technical fad but an organizational lever that reduces ambiguity, accelerates productization, and restores trust between data producers and consumers. The monologue covers how to scope contracts to business outcomes, set measurable SLAs, embed monitoring and change controls, and tie incentives and accountability into existing governance. Listeners will get concrete decision points for platform investments, operating models, and rollout phases that minimize disruption while creating audit-ready compliance and predictable ROI. The episode closes with leadership guidance on measuring contract effectiveness, handling exceptions, and a step-by-step 90-day starter plan for C-suite sponsors and data product owners.Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support.I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions.Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.
What this episode covers
This episode gives executives a practical, operational roadmap for data contracts: formal agreements that define ownership, quality SLAs, access policies, and observability for data products that power AI at scale. Mirko frames why data contracts are not a technical fad but an organizational lever that reduces ambiguity, accelerates productization, and restores trust between data producers and consumers. The monologue covers how to scope contracts to business outcomes, set measurable SLAs, embed monitoring and change controls, and tie incentives and accountability into existing governance. Listeners will get concrete decision points for platform investments, operating models, and rollout phases that minimize disruption while creating audit-ready compliance and predictable ROI. The episode closes with leadership guidance on measuring contract effectiveness, handling exceptions, and a step-by-step 90-day starter plan for C-suite sponsors and data product owners.Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support.I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions.Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.
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Data Contracts for Enterprise AI: From SLAs to Trust
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