The Data Integrity Death Spiral - How Fast-Moving AI and Robotics Companies Accidentally Build Compliance Nightmares
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Think compliance slows you down? Think again. This week, Peter Ferreira breaks down why brilliant AI and robotics teams keep accidentally building $8 million compliance nightmares – and how to avoid becoming one of them.
You'll discover why "we'll add compliance later" is the new "we'll add the foundation after building the house," plus the three architecture pillars that let you move fast AND stay bulletproof when regulators come knocking.
Whether you're building autonomous systems, ML pipelines, or any AI-powered product heading for enterprise customers, this episode will save you from rebuilding your entire data architecture when compliance requirements hit.
Key Topics:
- Why data lineage should be a core capability, not an afterthought
- The "immutable everything" approach that doesn't kill performance
- How to automate compliance instead of drowning in manual processes
- Real architecture patterns that scale with regulations instead of fighting them
Action Items:
- Audit your system's traceability gaps this week
- Test if you can replay any decision from 3 months ago
- Redesign with compliance as a constraint, not a bolt-on
Perfect for CTOs, engineering leaders, and founders who want to build systems that work for users AND auditors.
Learn more: ferreiracto.com
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