Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

This study presents a valuable and simplified classification system for predicting clinical outcomes of RPLS patients. The data were collected and analyzed using solid and validated methodology and ...

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

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

H&R Block was hit with a data breach class action that centers on a cyberattack which allegedly exposed the personally identifying data of approximately 23,000 individuals. Takeaway: The suit is ...

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.

Improved Data Management: Data classification helps companies streamline processes such as data storage, backup, and retrieval. Image Credit: rawpixel.com on Freepik Risk Assessment ...

Sharifi (2020) implemented an image classification method for detecting the surroundings, diversity of the scales, and target defocusing in ship using SAR images. In this study, an anchor-free method ...

Sentra, the cloud data security leader, is announcing the integration of large language models (LLMs) into its data classification engine, re-envisioning data security as even more proactive, ...