Examples of Unstructured Data: Emails: Emails contain free-form text, attachments, and metadata like sender and receiver information, making them a common example of unstructured data.

For example, new systems are increasingly capable of analyzing unstructured data, and aggregating all of the relevant data points into a unified whole. What does this mean for privacy?

It’s time to put unstructured data in the spotlight. Having the ability to process unstructured data should be an integral part of your business, no matter what kind of business you are.

For example, the flow of data may be intermittent or may have limited communications capabilities, given that many mission locations are globally located. That also translates into how to keep a ...

Examples include physicians' notes in EHRs, emails, text files, photos, videos, call transcripts and recordings, and business chat apps. Unstructured data can make up upward of 80% of data within a ...

Unlike relational data, unstructured information lacks defined data types and rules to enforce where that data is stored. In addition, unstructured data is created and generated across a broad ...

As unstructured data is used in more business decisions and ops, ML-based quality controls help ensure your data is accurate and useful.

Komprise announces new enterprise tools and features for unstructured data management Your email has been sent Komprise, a leader in analytics-driven unstructured data management and mobility ...

The use of unstructured data in GenAI introduces new types of governance, privacy and security risks.

Unstructured data risk management is a core component of GDPR, CCPA and any other data privacy regulatory and compliance priority.