How large manufacturers manage product data across functions and systems
We're looking for senior leaders at large manufacturers (Head of AI, CDO, VP Data, Enterprise Architecture) who are currently implementing or evaluating platforms like Palantir Foundry, Celonis, Snowflake, or Databricks to structure enterprise data for AI and decision-making. Specifically, we want to understand: how are you handling product data (BOMs, materials, suppliers, costs, compliance, environmental impact) within that architecture? We want to hear how you're approaching it and where the gaps are.
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