AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...

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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 ...

Explore how to design resilient cloud streaming architectures. Learn about Kafka, Flink, and CI/CD automation to scale ...

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 ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...

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 ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time.