Unstructured data will outpace structured data at a staggering rate, and the organizations that can best understand and interact with it will give themselves a leg up on the competition.

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data.

Today's Forbes CIO newsletter focuses on using the troves of unstructured enterprise data you have, applying AI to find ...

Data Loss During Conversion: When converting unstructured or semi-structured data into structured formats, valuable context or details may be lost.

This is a significant departure from the traditional ETL world where a single vendor could extract and transform the structured or semi-structured data because the traditional ETL process is a linear ...

With no unifying structure, data lakes of unstructured data become impossible to search and discover the right data for the need at hand. Meanwhile, the cost of storing petabytes quickly adds up.

Anomalo Workflows now lets customers: Identify and correct quality issues like duplicates, errors, PII and abusive language Analyze large volumes of unstructured content to uncover patterns and ...