For years, artificial intelligence has been framed as a contest—humans versus machines, creativity versus computation, ...

At the national level, data on workforce development programs is housed in several different systems, creating administrative ...

AI innovations have long promised productivity at scale, powered by breakthroughs in underlying technologies such as large language models (LLMs), aiding state-of-the-art applications to reason with ...

Liquid Apps focuses on integrating AI and data-driven systems into mining operations to improve efficiency, visibility ...

Public health departments depend on accurate and timely data to guide their efforts to control the spread of disease. Full integration of information technology is the norm for other essential data ...

CRMs, analytics platforms, cloud applications, legacy infrastructure and internal data stores—each built at a different time ...

In a recent Views & Comments column published in Engineering, researchers Jinghai Li and Li Guo from the Chinese Academy of Sciences offer profound insights into the future development of data science ...

Explore India's transformative energy grid, integrating real-time data exchange for renewable power while balancing security ...

Imagine trying to navigate an unfamiliar city with a broken compass. The needle appears steady and reliable, instilling confidence in each turn you take. But unbeknownst to you, every step leads you ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with, and act on. At scale, these systems often remain operational while ...