When we talk about artificial intelligence (AI) in business and society today, what we really mean is machine learning (ML). This refers to applications that use algorithms (a set of instructions) to ...

The datasets required to train A.I. models are starting to dry up. Photo by Silas Stein/picture alliance via Getty Images As the A.I. models developed by tech companies become larger, faster and more ...

The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...

The new ImageBind model combines text, audio, visual, movement, thermal, and depth data. It’s only a research project but shows how future AI models could be able to generate multisensory content. The ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

For a simplistic view of data processing architectures, we can draw an analogy with the structure and functions of a house. The foundation of the house is the data management platform that provides ...