Operations | Monitoring | ITSM | DevOps | Cloud

Data centers have become the beating heart of digital business. Everything from financial transactions to cloud-based collaboration tools depends on the seamless movement of information between these high-powered facilities. As demand for bandwidth grows and companies stretch their networks across cities, states, and continents, the ability to connect data centers securely and efficiently has taken on new urgency. But linking data centers isn’t as simple as laying fiber between buildings.

Rural America is experiencing a dramatic surge in network demand driven by high-bandwidth applications like 4K video streaming, real-time sports content, and AI workloads. As broadband competition and digital transformation accelerate, service providers must rethink middle-mile network architecture to be scalable, technology-agnostic, and service-aware.

For today's leading service providers and large enterprises, ensuring peak performance requires navigating a labyrinth of data streams, monitoring tools, and legacy systems. This often leaves network operators spending more time searching for information than acting on it. A new AI-enabled network management is dawning, promising to upend these cumbersome workflows.

Several years ago, while surfing the web, the author of these lines discovered something unexpected… an organization with focus on optical networks he had not heard of before.

In a recent presentation, Verizon’s Steve Ownes discussed their strategic initiative to accelerate the decomissioning (decom) of TDM switches, underlining the significance of repurposing legacy infrastructures in favor of modern architectures. Ribbon’s guest Steve Owens kicks things off with a light-hearted reference to "Sanford and Son” showing how relics can be transformed into gold through effective management and innovation.

As artificial intelligence (AI) rapidly evolves from a research novelty to an enterprise essential, one often-overlooked component is under intense pressure: the network. AI’s hunger for data and real-time performance is forcing enterprises, cloud providers, and data center operators to rethink how they interconnect data centers. Enter Managed Optical Fiber Networks (MOFN) — a modern solution for modern DCI challenges.

If you've ever received a call that looked like it was from your bank or, worse, a family member, but turned out to be a scam, you're not alone. These spoofed calls continue to be a huge headache, not just for everyday people but for businesses, phone carriers, and regulators too. The good news? The FCC is stepping up again. Last week, the Federal Communications Commission released a new Notice of Proposed Rulemaking (NPRM) to close a serious gap in our defense against robocalls: non-IP networks.

Most Mobile Network Operators (MNOs) prioritized the deployment of 5G RAN infrastructure for both data and voice. Refarming 3G radio spectrum, implementing network slicing, adopting cloud native architectures, and driving automation are key for mobile networks. This blog will explore these ideas and show how Ribbon’s solutions are focused on this accelerated adoption.

The 17th century saw the onset of the Scientific Revolution. It was a time of knowledge explosion. During this time, scientific practices were still evolving, with no universally accepted protocols for data collection and analysis. Individuals documented any observation, resulting in the collection of massive amounts of information, but much of it was hard to leverage to draw useful conclusions. The development of the scientific method provided a common approach to capturing and analyzing data.

Artificial intelligence (AI) is revolutionizing the way we address real-world challenges, from fraud detection and customer service optimization to groundbreaking healthcare research and treatment. At the core of these advancements lies robust data center infrastructure.