Analytics-grade data was built to inform decisions. AI needs data that can act. Explore what changes when data has to support autonomous decision-making, the contextualization, trust and integration requirements it demands, and how enterprises are proving that their data, models and outputs are auditable, explainable and genuinely production-ready.

What you'll walk away with:
• Why analytics-grade data falls short when AI needs to act, not just inform
• The contextualization, trust and integration requirements for autonomous decision-making
• How to prove data, models and outputs are auditable, explainable and production-ready