When multiple departments maintain different versions of the same customer, financial, or operational record, which one should AI trust?
Nandakumar Sivaraman, Bridgenext’s SVP and Chief Architect of Enterprise Data, was recently featured in AI Data Press by EnterpriseDB to explain why unresolved data discrepancies can undermine production AI.
In the article, he explores how governance, data lineage, and clear ownership help enterprises reconcile conflicting records, establish trust, and prevent AI from acting on inconsistent information. The article also examines how discovery-first ingestion and governed data as a service creates a more reliable foundation for enterprise AI.