Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to ...

Oracle also introduced Autonomous AI Lakehouse, a new platform that combines Oracle’s Autonomous AI Database with the open ...

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 ...

NetApp CEO George Kurian explains how a data-first architecture is the key to delivering AI outcomes that are both scalable ...

The question is no longer whether to invest in integration—but how fast to move, who owns it and which model creates the most ...

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 — ...

The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...

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 ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...