‘Every other industry running mission critical infrastructure solved this problem years ago’: Why autonomous networking is in dire need of a digital twin

The push for autonomous networking faces a significant hurdle: the lack of robust digital twins. This technology, common in other industries, is crucial for simulating network changes and preventing widespread outages as networks become more self-managing.
Key takeaways
- Autonomous networking needs digital twins for safe deployment.
- Other industries successfully use digital twins for infrastructure.
- Lack of testing tools risks network instability.
- Reliable AI tools depend on stable network infrastructure.
Why it matters
For AI users, this means the networks powering their tools might become less reliable. Without digital twins to test updates, autonomous network changes could lead to unexpected downtime, impacting productivity and access to AI-driven services.
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