Big Data & Analytics Summit Canada

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The 12th Annual Big Data & Analytics Summit Canada brings together experts from leading enterprise and public sector agencies across North America.

Trust before Autonomy: The 5 Requirements for Agent-Ready Data

AI in production does not fail quietly. It amplifies bad data, unclear rules, and weak controls—faster and at scale. For CDOs, that makes AI readiness more than a data quality issue—it’s a business risk. This session outlines five requirements for agent-ready data—including trust, governance, sovereignty, shared context, and deterministic insights—that help organizations put real guardrails around autonomous AI. The outcome is not simply more data discipline, but a more reliable foundation for AI that can withstand operational, regulatory, and executive scrutiny.

Learn how to:

• Define the five requirements that keep production AI from becoming unmanaged risk at scale.
• Strengthen trust, governance, and sovereignty before inconsistent data and ungoverned access become operational exposure.
• Build AI systems that use shared context and deterministic insights from ML and analytics to stay auditable, bounded, and aligned to how data can be used.

Because once AI starts acting at scale, “good enough” data becomes a business liability.