Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Tamed DB sprawl and saved cloudy resources with 'X-Stor' Exclusive Chinese web giant Tencent has revealed it created a NoSQL database that it believes can handle multiple data models more elegantly ...

Recent reports have predicted that publicly available, relevant data necessary for training AI models is expected to run out by 2026. The global AI market is projected to reach $1.8 trillion by 2030 — ...

Artificial intelligence is growing fast, and so are the number of computers that power it. Behind the scenes, this rapid growth is putting a huge strain on the data centers that run AI models. These ...

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...