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 ...

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 ...

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 ...

As middle-market healthcare and manufacturing companies move from AI experimentation to implementation, LBMC appoints ...

In an age of new technologies, Scott Milner, the new global head and practice group leader of the Morgan Lewis' e-data practice group, sees a need to revisit some older e-discovery principles, such as ...

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 ...

Data quality is paramount in data warehouses, but data quality practices are often overlooked during the development process. The true measure of an effective data warehouse is how much key business ...

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 ...