These large data sets are not amenable to study using traditional database techniques, if only because they can be too large to fit in a single relational database. On the other hand, many of the ...

Graphics processing units have become much more prominent in recent years because of their ability to perform the complex calculations on large data sets that underpin modern artificial intelligence ...

The goal of systems biology is to decipher complex and interdependent biochemical processes to understand how a biological system operates on a mechanistic level and how it reacts to external factors ...

AI is looking at mental health through data sets. A data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

Amazon Web Services (AWS) is launching a managed network of ground stations to help cut the time and cost involved with processing data generated by orbiting space satellites, and moving it to the ...

An in-depth guide to overcoming fast data ingestion challenges with Redis Pub/Sub, Redis Lists, and Redis Sorted Sets Roshan Kumar is senior product manager at Redis Labs. Real-time streaming data ...

Two years ago, Microsoft debuted SharePoint Syntex, which leverages AI to automate the capture and classification of data from documents — building on SharePoint’s existing services. Today marks the ...

What will shape enterprise data in 2026? We look at insights from Bloomberg’s Enterprise Data & Tech Summit in London on themes such as interoperable cloud infrastructure and governed data frameworks.