How does Gen D consume content? They expect personalization and will likely be disappointed and possibly walk away if the content is not personalized.

A data classification policy provides a solid foundation for effective information governance by allowing an organization to understand its data and the types of risk that data poses.

HR departments handle sensitive, context-based people data, so they need a more nuanced classification approach than traditional models.

Learn how data fabric addresses fragmentation, compliance, and Shadow IT to deliver robust, centralized data protection and governance.

Data classification is also a critical part of data security. Statistics show that nearly 62% of U.S. firms suffered a data breach last year and over 80% contained a human element, including incidents ...

An enigmatic fossil, once considered one of the earliest mollusks, has recently been reclassified by scientists from Durham and Yunnan universities. This discovery challenges our knowledge about ...

Semantic data analysis allows for efficient data integration, classification and contextualization, which will enable organizations to build more adaptable and responsive AI systems.

You need to know where your data is, what it is, its governance requirements and relationship to the rest of your data. We look at data classification and how AI can help ...

A data map helps you figure out the answers by supporting data discovery and data classification. In turn, data discovery and classification enable you to fulfill a spectrum of compliance needs.

Identification, classification and handling of Purdue data, classified as public, sensitive or restricted, is essential to ensure the appropriate protection is applied.