Some data sources lack predictable order, but this doesn’t mean they aren't useful. Some AI scientists specialize in making sense of this unstructured data.

Quantzig breaks down the distinct differences between structured and unstructured data in its recent article.

Just like a data lake, a data lakehouse is built to house both structured and unstructured data. This means that businesses that can benefit from working with unstructured data (which is pretty ...

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

CommVault continues to leverage its single software platform to deliver comprehensive archiving capabilities, encompassing unstructured (e.g., file systems); semi-structured (e.g., Microsoft ...

Veritone, Inc., creator of aiWARE, is partnering with Snowflake, the Data Cloud company, offering enterprises with visibility and actionable insights into their data whether structured, ...

Allowing quality data in can lead to a better understanding of an organization. Read more to improve your data quality for unstructured data.

What’s different about Datavolo’s data pipeline model is that it leverages out-of-the-box processors to extract, clean, transform, enrich and publish both structured and unstructured data ...

The agency selected MarkLogic’s Data Platform to meet its needs. It offered integration of internal data—resumes, annual reviews, self-appraisals, training history and other HR information—with travel ...

Lexalytics brings two decades of structured and unstructured data experience and state-of-the-art cloud and on-premise text analytics solutions that go beyond surveys to include social, call ...