Azilen launches an edge AI framework combining TinyML and Agentic AI for real-time edge decisions, reducing latency, ...

The deeper issue is that many organisations do not lack data, they lack actionable data. They have metrics on almost everything, but not focused insight on the losses that truly matter. Leaders can ...

Nol8 is building what it calls an “AI data plane”. In simple terms, a data plane is the layer that moves and processes data ...

Rexfin Asset announces trading infrastructure upgrades focused on execution reliability, latency control, and stable market access during volatile conditions.

A technology has been developed that uses robots rather than humans to evaluate the performance of newly developed catalysts. By operating 45 times faster than manual work while also improving ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

Overview AI’s excessive power consumption is pushing data infrastructure beyond Earth’s physical limits.Falling launch costs ...

As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

Why is edge computing critical for Web3 infrastructure? Know how local data processing reduces latency, improves scalability, and strengthens privacy in decentralized apps.

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

Spotlight on Edge AI in Healthcare As adoption of AI-driven diagnostics and accelerated care increases, healthcare organizations are seeking secure, reliable, medical-grade edge computing. Advantech ...

Cookie loss and rising privacy demands are pushing personalization into distributed, privacy-first architectures.