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 ...

Stronger data practices can help leaders better utilize data as a way to deeply understand the students they serve. “Data-based decisionmaking.” “Data-driven instruction.” These are now-familiar terms ...

The AI wave has come on faster than most (including me) expected. Over the last decade, companies have slowly but surely started deploying AI. Return on Investment (ROI) was beginning to turn positive ...

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 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 ...

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 ...