Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

AI was to be a miracle for businesses & consumers alike. AI implementations that were supposed to transform business ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive maintenance.

Uncover essential ERP tools, like databases and analytics, to streamline business operations and improve efficiency in your enterprise planning.

The relentless pursuit of higher performance and greater functionality has propelled the semiconductor industry through several transformative eras. The most recent shift is from traditional ...

Background: With the acceleration of global population aging, elderly individuals in sub-health and pre-frailty states face increasing health risks that undermine quality of life. Home treatment ...

The data, from thousands of coal-burning power plants, oil refineries, steel mills and other industrial facilities, is the country’s most comprehensive way to track greenhouse gases. By Maxine Joselow ...

Abstract: In many AI scenarios, data and model sharing are essential for supporting communication, interaction, and collaboration among multiple computing centers. The framework and functional ...

Tabular data analysis is crucial in many scenarios, yet efficiently identifying relevant queries and results for new tables remains challenging due to data complexity, diverse analytical operations, ...