Abstract: T- Data classification and extraction are fundamental tasks in the field of computer vision and data analysis. This abstract presents an overview of these concepts along with the utilization ...

On 24 January, the Cyberspace Administration of China (CAC) released the Draft Guidelines on Data Classification and Grading for Financial Information Services (the Guidelines) for public consultation ...

One in five insurance entities operating in Bermuda has yet to complete the classification of its data, a basic regulatory requirement under the Bermuda Monetary Authority’s cyber-risk framework, ...

In today’s digital-first world, data is both an asset and a liability. As organizations scale their use of cloud platforms, AI, and remote collaboration tools, the complexity of managing data security ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

Data Knot is a set of machine learning tools that are optimized for low latency and real-time performance. The tools can be used with any type of audio input, including optimizations for Sensory ...

Cross-platform app that scans and classifies files (text, images, PDFs, spreadsheets, zip archives) using Google Gemini to detect SPII, PII, and non-sensitive content. Features customizable compliance ...

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.

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