The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Bo Zhang, associate professor at Xiamen University, China, spoke to LCGC International at HPLC 2025 in Bruges, Belgium, about ...

Alright, let’s be honest — login systems are everywhere. From your favourite pizza delivery app to your office tools, every app asks you to Sign in with Google or Log in with Microsoft. Ever wondered ...

As the agent is designed to work with known Azure data sources, it’s able to use these to detect exceptions and then determine the possible cause, reporting back its conclusions to a duty site ...

At many data centers, 20% to 40% of their total energy is used to cool the servers, Kozubal said. With liquid-cooled systems, that can drop to about 5%. “That’s a significant number,” he said.

Geographic information systems (GIS) are supplemented by components for the creation of batch data flow diagrams. In this article, two components are presented: Model Builder in ArcGIS and Workflow ...

NTA analyzes traffic and detects exceptions based on flow data sent by the routers and switches. To provide a better understanding of how to send flow data for NTA analysis, we will illustrate flow ...

One sample shows you how to build an Azure AI-powered Copilot, and another shows you how to mix different AI services to build a multi-modal application. Building AI applications in Azure AI Studio ...

A transformation from the transformation flow is parsed using spark parser like Source, Filter, Join, etc. Transformation parsers are loaded using Service loader pattern. The following diagram depicts ...

Azure Synapse is better set up for users that just want to deploy a good data warehouse and analytics tool rapidly without being bogged down by configurations, data science minutia, or manual setup.