Agentic Data Curation

Agentic data curation helps to solve the most difficult data challenges—the idiosyncrasies and complex edge cases that are close to consumption and difficult to automate. This data is sometimes referred to as the “last mile” of data or the data that remains unresolved after the general mastering process is complete.

Organizations use agentic data curation capabilities as part of an AI-native platform to resolve the most challenging data issues that remain after the core data mastering process takes place. By combining pre-built AI/ML models, select rules, and agentic data curation, AI-native MDM enables organizations to quickly and cost-effectively master their enterprise data at scale, including complex edge cases that require a higher level of knowledge, precision, and data preparation. This approach reduces manual effort and helps data teams focus on the highest-value work.

Tamr’s Curator Hub Curator Hub replaces manual human data review processes with a smarter, more intuitive workflow that allows stewards to shift from manual data triage to human-in-the-loop curation. Through a combination of data quality standards, real-time duplicate checks, and AI agents, Curator Hub automatically flags edge cases and organizes them in queues, where data stewards can view side-by-side comparisons, understand why an issue was identified, and preview what will change within the system before applying an update.