The data mesh architecture promised to eliminate the inefficiencies and errors of the data lake. What went wrong?

Agentic AI systems promise to enhance human productivity by automating complex tasks through intelligent reasoning.

A comprehensive database optimization framework integrating connection pooling, distributed caching, and multi-layer encryption achieves ...

Modern systems thrive on connected APIs and tools, but fragmented integrations create hidden security risks across environments.

Electronic Design has curated a series of white papers that help you understand NVIDIA’s 800-V DC power architecture for “AI ...

Infineon’s OktoberTech in Silicon Valley provided a glimpse of the shift in power architecture with hot-swap controllers, ...

In U.S. telecommunications, where customer expectations soar and data grows exponentially, the ability to unify, modernize, ...

Digitizing the world opened up a plethora of opportunities for companies, consumers, and machines. Unfortunately, it also ...

It’s clear why no manufacturing executive wants to bet everything on a pure data model. Centralized architectures are robust, ...

As AI agents become integral to cloud native applications, the Model Context Protocol (MCP) has emerged as a leading standard for enabling these agents to ...

Arango unveiled the Arango AI Data Platform, a trusted data foundation for Contextual AI — transforming enterprise data into ...

The company unveiled an AI architecture for data centers in 2024 that was developed in partnership with Nvidia and built on ...