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

AI has been reshaping how operations-heavy companies think about data infrastructure, and it could fundamentally reshape ...

A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

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

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.

Fragmented naming conventions and unstructured data across PLCs, SCADA, MES and ERP systems undermine even the most advanced analytics, making consistency and context essential. The single, ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...