Enterprise data infrastructure is at a breaking point. Organizations are drowning in complexity as they struggle to manage the increasing demands of real-time analytics, personalized customer ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...

The AI-driven platform establishes the foundation for enterprises to move beyond dashboards and static reporting toward dynamic, autonomous, and embeddable AI-native data products that can reason, act ...

Tool overload drains value. Most organizations use far more tools than they need, which leads to duplication, poor integration and underused capabilities. Governance matters. Successful teams ...

IBM is aiming to radically simplify the enterprise data stack, introducing software that unifies, governs, and activates the unstructured enterprise data necessary to power AI agents and other ...

Why is Christian Science in our name? Our name is about honesty. The Monitor is owned by The First Church of Christ, Scientist, and we’ve always been transparent about that. The church publishes the ...

Liquid cooling specialists LiquidStack has launched a new Coolant Distribution Unit (CDU) for high density, high-powered data center environments. The company introduced the GigaModular CDU, what it ...

So far in 2025, STACK Infrastructure has secured over $6 billion in green financing to support its sustainable data center developments across North America. These initiatives highlight STACK's ...

Two data center ABS deals from Stack and Compass this week should be able to piggyback off residual demand from recent fiber-backed deals, said bankers, as investors are eager to put capital to work ...

Actian, the data division of HCLSoftware, is introducing Actian Data Observability, leveraging AI and machine learning for comprehensive data quality monitoring as well as anomaly detection and ...

Have you ever found yourself staring at a long, messy column of data, wondering how to quickly transform it into a clean, structured table? For anyone working with Power Query, this challenge is all ...