In the world of public safety, a second can be the difference between a life saved and a tragedy. The tools our first responders rely on—from real-time video feeds to biometric sensors—demand a network that is not just fast, but unfailingly reliable. As 5G rolls out, it promises to be the backbone of this next-generation public safety infrastructure, but its full potential can only be unlocked with the right architecture. 

The future of enterprise AI hinges on the network, and at the recent 2025 OnGo Alliance Fall Meeting, Canoga Perkins President Malik Arshad delivered a compelling message: The era of "best effort" networking is over. In his presentation, “Powering the AI Enterprise: The Imperative of Deterministic Networking,” Arshad underscored a critical distinction that will define the next decade of enterprise technology. The Network Divide For AI workloads—where every millisecond transla

The future of networking isn't just about faster speeds; it's about intelligence. The telecom industry is entering an AI-driven era where networks must become more than dumb pipes—they must become smart, responsive systems capable of handling an explosion in data and real-time applications.

The world of enterprise technology is at a fascinating crossroads. For years, network infrastructure has operated on a “best-effort” basis, perfectly fine for general web Browse and email. But now, with the rapid acceleration of artificial intelligence (AI), that old-school approach is no longer cutting it. AI isn't just another application; it’s a demanding new tenant on the network, one that requires precision, speed, and reliability that traditional systems simply can't pr

As connectivity becomes essential across industries, private 5G networks are rapidly becoming the backbone for modern operations. However, traditional private 5G deployments often involve complex setups, long deployment cycles, and significant investment. That's the challenge Canoga Perkins is solving with SyncMetra® Manager (SMM). 

Enterprises are using technologies such as AI, ML, data analytics, and automation to power new product development, improve product...