This Policy serves as a foundation for the University’s data security practices and is consistent with the University’s data and records management standards. The University recognizes that the value ...

In today's data-driven age, enterprise success isn't merely contingent on possessing vast amounts of data but on comprehending its nature and value. Amid the sea of information enterprises deal with ...

Purdue University academic and administrative data are important university resources and assets. Data used by the University often contains detailed information about Purdue University as well as ...

SAN MATEO, Calif., Jan. 30, 2026 /PRNewswire/ -- Symmetry Systems, the Data+AI security company, today unveiled its AI-Powered Classification taxonomy that fundamentally transforms how organizations ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

The federal government is facing down the challenge of big data with old-school tactics that can leave gaps within data discovery and classification. It’s time to move on to new practices, with modern ...

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 ...

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 ...

The Data Science Lab Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end ...

China - New Guidance On Classifying Data And Identifying Important Data In The Financial Industry. Legal News and Analysis - ...