Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...

The thermal management of high-density computing environments represents one of the most consequential engineering challenges ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Southern California Edison partners with ThinkLabs AI and Microsoft to automate grid energization. Learn how this ...

In reliability engineering, few indicators are as consistently revealing as the particles that infiltrate a lubrication ...

The European Space Agency (ESA) suffered a security breach of its science servers, with a hacker group claiming they have ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

The platforms offer analytics of electrical utilities and data processing of their related drone data, boosting Bentley Systems' asset analytics strategy.

New agentic AI functionality enables health systems to dynamically optimize capital plans and right-size inventory, resulting ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.