If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Incubated for DoD & Intelligence use cases, startup announces commercial availability of enterprise AI platform, delivering ...

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

Do traditional storage architectures need to be updated? After all, nearly every enterprise storage system that's available today is fundamentally based on an architecture that is now decades old – ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

Data streaming vendor Confluent has also revealed its cloud-native Flink service, with the aim of making it easier to build applications with stream processing. Confluent CEO Jay Kreps recently ...

NVIDIA is rolling out AI data center reference designs that combine digital twins with power, cooling, and controls ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

In an era where financial institutions face mounting pressure to deliver sophisticated analytics platforms while managing massive datasets, the remarkable success of the Enterprise Data Intelligence ...

It’s widely acknowledged that innovation drives a company’s growth and product development, and for organizations with research and development labs, these environments are central to that innovation.

The Pentagon is pausing development of Advana—its default data-analytics platform—so it can be upgraded to handle increased demand, according to an internal email obtained by Defense One. In the June ...