The rapid advancement of AI and ML technologies has revolutionized business operations, enhancing productivity, expanding services and improving efficiency. These tools help businesses make strategic ...

Since extreme weather events have become catastrophic across the globe, environmental, social and governance compliance has become top of mind for enterprises. This is why an intensive-data approach ...

TigerEye Labs Inc., an artificial intelligence-powered planning and revenue management platform company, today announced the open-source release of DuckDB.dart, a tool that helps developers build and ...

Key-value databases are at the forefront of many modern data-intensive business applications – and are widely adopted across several industry verticals including e-commerce, online gaming, content ...

The Institute for Data-Intensive Engineering and Science, known as IDIES, requests proposals for data-intensive, multidisciplinary, multi-investigator–sponsored projects at JHU to be considered for ...

Last week, I took part in this side event at the Human Rights Council’s 37th ordinary session called, “Digital identity, smart cities, and other data intensive systems: the implications for the right ...

New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...

In a recent paper published by Professor Xin Li and Dr. Yanlong Guo from the Institute of Tibetan Plateau Research, Chinese Academy of Sciences, the authors explore the profound paradigm shift in ...

On Feb. 11, the Data Intensive Studies Center launched its 2022 Art Datathon with a “What Does Feminist Data Science Look Like?” lecture from Catherine D’Ignazio, assistant professor of urban science ...