Securing personally identifiable information is increasingly challenging for many organizations. As the amount of worldwide data increases, so does the number of rules, laws and policies to govern and ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Two weeks ago, I spoke on a panel at the Association of American ...

The data management discipline known as data integration (DI) has undergone an impressive expansion over the last decade. Today it has reached a critical mass of multiple techniques used in diverse ...

Most information security practitioners would agree that all data is not created equal -- in other words, some data is more sensitive than others, and should be more rigorously protected. There are ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

It's easy for biases to creep into different aspects of decision-making—even when you think you’re basing your decisions on objective facts. So how can you limit bias when it comes to making decisions ...

Data encryption performs two purposes: it protects data against internal prying eyes, and it protects data against external threats (hacking, theft of backup tapes, etc.) Encryption in the database ...

In 2019, UnitedHealthcare’s health-services arm, Optum, rolled out a machine learning algorithm to 50 healthcare organizations. With the aid of the software, doctors and nurses were able to monitor ...