Data temperature is a metaphor for how close to the CPU your data is. Data on tape is perhaps the coldest, while data in volatile memory—the familiar random-access memory (RAM) that all computers have—is the hottest.
Most data in the enterprise is on the cold side, tucked away on hard drives or networked storage of some sort. Only a small fraction heats up when someone needs to use some information for a particular purpose.
Artificial intelligence (AI), however, is changing the enterprise data heat map, as organizations increasingly leverage once-cold information to train their machine-learning (ML) and deep-learning (DL) models.
The enterprise use of AI may very well be in its infancy, but the writing is on the wall. It won’t be long until virtually every application is AI-enabled in one way or another, thus pressuring IT infrastructure teams to support a world where all data is hot.
Here’s how to keep cool as hardware shifts heating up right now will soon affect your storage architect’s operations.
Read entire article at https://techbeacon.com/enterprise-it/ai-ramping-its-time-rethink-data-temperature.
Microsoft, SAP, and VMware are former Intellyx customers. None of the other vendors mentioned in this article are Intellyx customers. Intel covered Jason Bloomberg’s expenses at its Data-Centric Innovation Day, a standard industry practice.
