Operations | Monitoring | ITSM | DevOps | Cloud

Pandemic-era shortages are still fresh in many minds. As consumers, we remember empty shelves and long lines driven by panic buying and stockpiling. In telecom, the story played out differently but with the same root cause: factory shutdowns interrupted chip fabrication just as demand for networking and optical equipment surged.

Operators today are navigating unprecedented complexity—rising costs, accelerating customer expectations, and increasingly dynamic networks. In this recent video interview, my colleague Kevin Wade and I explore why AI‑driven automation has shifted from a “nice‑to‑have” technology to a core business requirement for telecom operators and beyond.

For decades, telecom network operations have depended on traditional OSS tools – complex, services-heavy platforms that take years to modernize and even longer to deliver measurable business impact. This year at MWC, the leading OSS vendors showcased a variety of new AI extensions for their portfolios and marketed them as the fastest path to autonomous network operations. They are not.

While the race to expand networking infrastructure to support AI applications continues on land, the same expansion is occurring undersea. Subsea cables spanning Earth’s oceans must evolve to keep pace.

As digital transformation accelerates, the underlying infrastructure supporting your enterprise or service provider network faces unprecedented pressure. The exponential growth of data, driven by cloud computing, 5G, and particularly Artificial Intelligence (AI), demands a fundamental rethink of how you approach connectivity.