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

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

This is the crux of the organizational challenge. Business units want AI capabilities now. Technology teams understand that ...

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

In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery ...

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 ...

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

Cisco launched new AI-driven innovations for enterprise value, including Unified Edge platform and AI-ready network architecture, to simplify operations, strengthen security, and accelerate ...

For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges.

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

Tod Higinbotham, CEO of ZincFive, explains how an AI-optimized nickel-zinc battery system can deliver compact, safe and sustainable power that meets modern data center needs.

The landscape of modern software engineering demands a unique blend of technical versatility, performance optimization expertise, and architectural vision. As organizations increasingly rely on ...