AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

To make productive use of the ever-growing volumes of data, businesses and organizations need the right database systems to manage all that data and make it available for transactional and analytical ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

A database management system can help teams create databases and keep critical information organized in a central repository. However, to make the most of the system, it's critical that organizations ...

Alibaba Cloud Named a Leader in Gartner® Magic Quadrant™ for Cloud Database Management Systems for Sixth Consecutive ...

The researchers developed a non-invasive visual edge module capable of automatically gathering physiological data from existing bedside monitors. Instead of requiring hospitals to replace legacy ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...