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Scaling AI with Governance
Scaling AI requires robust governance for production. Learn about ownership, policies, security, traceability, observability, and lifecycle management to build reliable, compliant, and cost-effective AI capabilities.
Scaling AI isn’t about adding more models but it’s about adding governance.
This talk explains why AI only scales in production when you have clear ownership, policies and guardrails: security and privacy controls, end-to-end traceability, observability (costs, quality, performance), and lifecycle/change management.
The core message: to scale AI, you need a governance system not just better models.