Unleashing network transformation with AI, edge and automation

How telecom providers are reducing costs, empowering workers and streamlining processes with new cloud-based networking

By | 3 minute read | July 1, 2021

The nature of networking itself is changing. Old network topologies and systems don’t meet the growing demand for next-gen features and services, and new ways of connecting data—for communication service providers and customers—are needed.

Next-gen networks built on cloud are crucial for growth, and digitally transforming your network infrastructure to become more open, seamless and optimized is absolutely critical to maintaining that growth. As data and networks become commoditized, telecommunications providers need to create savings and innovations wherever possible.

One of the most important steps in building a new kind of network is automation. It’s vital to deliver new services and innovation at speed while providing exceptional customer experiences. As telecom providers and carriers look to automate workloads from the cloud to the edge, they need an approach that not only integrates legacy and modern systems, it supercharges them. It’s the kind of hybrid cloud approach being pioneered by IBM and Red Hat.

By investing in dynamic network transformation now, you’ll be setting yourself up to reduce costs, increase workforce productivity, and refine and target your efforts more efficiently than ever. Network transformation is also foundational to building and enabling new services on your platforms that helps create additional revenue streams. When you transform your network, you open the door to new possibilities.

  • Reduce costs
    reduction in total cost of ownership with open platforms and automation
  • Enrich your workforce
    increase in workforce productivity improvements.
  • Refine processes
    reduction in manual efforts with Red Hat’s open technology.

Network transformation is much more than industry buzz—processes and services already exist that can jumpstart your transformation today.

Edge computing

5G has been a massive leap forward in networking and communication technology. But as our networking capabilities have advanced, our demands on those networks have kept pace, and even outpaced things sometimes, leading to outages. Unless we change how information is managed, processed and sent across networks, our bandwidth race will remain neck and neck.

This is where edge computing comes in. In short, it’s a way to offload data processing from the centralized cloud and back onto our point-of-use devices, whether that’s smartphones, tablets, voice assistants, vehicles or the web of increasingly interconnected machines, devices and entire cities. By handling smaller tasks locally, we can free up bandwidth and processing power for more important or larger workloads. Optimizing workflows and bringing data processing closer to where the action is allows the network to both increase responsiveness while decreasing latency.


Artificial intelligence is so much more than what answers you when you punch in a search or ask your voice assistant a question. It’s also incredibly powerful algorithms that can study systems, learn from them and make predictions for the future. And these AIs are already being deployed around the world to improve performance and service.

Right now, AI is being used to analyze and predict network outages for telecommunication companies before they happen, decreasing response times and lapses in service. It’s a crucial part of automation, keeping the network running as more people are depending on it. And  that’s also why those voice assistants and chatbots are critically important, too. After all, as more consumers and enterprises place more and more demands on the network, quick and efficient responses to customer issues take on a whole new level of importance.

Intent-based automation

Intent-based automation is the latest advance in network management. Identifying an ideal end state and then adjusting, maintaining and changing network infrastructure in order to achieve it can be time- and cost-intensive. With AI, network operators can now simply identify the ideal end state and have AI make all necessary changes and tweaks to achieve it. Intents can even be expressed and understood in natural language, freeing up time and resources to focus on other, higher priority items.

The networks of the future are already here. If you’re not keeping your own network up to speed, you’re already falling behind. Savings in costs, time and resources are within reach, and with those comes better customer experiences, service and ultimately a better world made possible by your network. Investing in your own transformation isn’t just good business, it’s a vital step in helping to build tomorrow for everyone.