In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

UB classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This policy provides a classification framework ...

“A strong data policy is the backbone of AI readiness,” Whippen says. “If your end goal is to identify use cases where AI can ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

To be compliant, to ensure data is optimally protected, that it is available, that it can be analysed and that it is stored most cost-effectively – these are reasons why data classification is ...

What is Data Classification and Why Is It Important? Data classification is the process of organizing data into categories, either manually or through the use of technology, with the purpose of making ...

Effective data protection hinges on data classification and risk assessment. This article explores how classifying data based on sensitivity enables targeted security measures and efficient ...

The future of data classification isn't just about categorizing data—it's about understanding it in all its complexity and context.

The coolest data management and integration tool companies of the 2025 Big Data 100 include Informatica, Airbyte, Confluent and dbt Labs.

NVISIONx, a leader in Data Security Posture Management (DSPM), is introducing Nx+RexAI, a new solution designed to tackle the challenges of data governance, regulatory compliance, and data security.