Just as Google and Apple locked in developer ecosystems during the web and mobile eras, today's protocol pioneers may ...

Composable systems empower developers and businesses to move faster. MCP applies this same principle to AI: modular parts, ...

For apps and tools, this means increased distribution and access to a vast pool of users (mostly long tail) through open APIs ...

The modern enterprise landscape demands architects who can seamlessly bridge the gap between cutting-edge cloud technologies and practical business solutions. As organizations across industries ...

As distribution centers become more complex, automation is no longer optional; it's a strategic imperative. Kore recently announced it successfully integrated its ERP with the Tecsys Elite WMS, a ...

Artificial intelligence is now built directly into many SaaS platforms, and that shift has created a new testing challenge.

Varland Plating’s plant developed homegrown historian software, visualizes and contextualizes data, and performs customized ...

“Every single leader we interviewed is rethinking data location,” says Gordon Noble, research director at the University of ...

For executives, the challenge of agentic AI is not simply integrating new technology but rethinking the architecture of ...

In this data & ai Traditional banks can learn from fintechs beyond just speed and user experience. Discover how traditional ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s ...

CIOs aren’t ditching the cloud — they’re moving some workloads back home to cut costs, meet rules and keep performance in ...