Unstructured Data | Lightup Data

Introducing Lightup Data Quality for Unstructured Data

The AI Era Needs Data Quality for Unstructured Data, Starting With Documents More than 80% of enterprise data is unstructured¹ — but traditional Data Quality tools are designed to run checks or queries on structured data in databases and data warehouses. That means many enterprises aren’t leveraging unstructured data in critical documents that power operations, […]

blogimage examining the impact of data inconsistency in unstructured data

4 Out of 4 LLMs Tested Got It Wrong: Examining the Impact of Data Inconsistency in Unstructured Data

All Posts / Sarabjot Singh

What Is Data Inconsistency? Data inconsistency is data that isn’t standardized or uniform across various data sources, systems, or formats. This often occurs when data is pulled from outdated or incorrect data sources containing conflicting, invalid, or partial information for the same attribute. Inconsistent data can arise from differences in formats, currencies, or units between

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