AI has been reshaping how operations-heavy companies think about data infrastructure, and it could fundamentally reshape ...
Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...
The exponential growth of digital data is being driven by a number of factors, including the burgeoning Internet of Things (IoT) and an increased reliance on complex analytics extracted from extremely ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...
Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time.
There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
It’s a story about trust. Because as systems grow more intelligent, trustworthy data becomes the electricity that powers them ...
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 ...
Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...
Data lakes stink. That's because lots of them turn to data swamps, and swamps stink. What's the difference between a data lake and a data swamp? A data lake is built on top of cost efficient ...