Communications and media organizations are racing to expand connectivity around the globe. Along the way, they’re navigating network complexity, building 5G strategies and managing an influx of IoT devices. And all this change is happening when they’re facing significant staff and skill shortages.
To tackle these challenges, many communications and media organizations have set their sights on zero-touch operations. The goal: strip out manual processes to speed service delivery and innovation while driving down costs.
Here’s how it could work:
- Start with new cloud-native technologies.
- Layer on APIs to allow cross-stack communication and orchestration.
- Then, AI and machine learning (ML) provide the logic to make a zero-touch workflow.
Without question, AI and ML are transformative on their own. But it’s the combination of these advancements that are making zero touch a reality.
The dream state for zero-touch operations is a network that can configure, heal, optimize and protect itself. While that’s still over the horizon, some companies have used existing technologies and automation capabilities to make steady progress.
I believe that each step on the path to zero touch unlocks new opportunities to reduce labor-intensive manual effort. As that happens, people can perform higher value work, taking on elevated roles in incident detection, investigation and response.
With the rise of AI and ML capabilities, coupled with cloud-native technology, we’re closer than ever to the dream of full zero touch. It won’t happen overnight — and communications and media companies can take different roads to get to their zero-touch destinations.
Some companies may pursue zero-touch provisioning (ZTP). Others may prioritize auto resolution for security incidents or customer issues. No matter where they start, each step can help lower costs and improve experiences for both customers and employees.