and ISPAC October 2023 Updated the data classification chart examples to include demographic data as Category 2 - Private Data February 2022 • Updated the data classification chart to: Remove ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification ...

Increasingly, organisations are using data classification to track information based on its sensitivity and confidentiality, as well as its importance to the business. Data that is critical to ...

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 ...

classification and clustering is beneficial. Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...