In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

The frightful fall season of Halloween is upon us. This means spooky things are on the rise. It’s right to be wary of things that bump at night or in the day when looking at the tangle of legacy data ...

Database systems are the backbone of contemporary data-driven applications, underpinning industries ranging from finance to scientific research. As data volumes surge and complexity increases, robust ...

When Expertise, Monitoring, Systems, and AI AlignBy Amir Malka, CEO, Bioforum The Data Masters | Trial oversight is shifting ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

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 ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...