In this video from Huawei’s Talking Tech series at Mobile World Congress, Jerry Guo, President of Huawei’s NCE Data Communication Domain, discusses the leading edge of enterprise network automation: the Autonomous Driving Network (ADN) for enterprises that Huawei unveiled in Barcelona.
Huawei’s ADN represents delivery on a long-term industry vision. These are networks that can cope with unprecedented levels of demand by self-deploying, self-optimizing and self-healing.
Huawei believes that this level of full-cycle automation is becoming an essential enabler for digital transformation. In fact, Jerry sees CIOs grappling with three challenges triggered by digital transformation:
- The need for speed in provisioning, to support accelerated time-to-market for new applications and services
- The requirement to provide best-in-class user experience by making available real-time awareness of network status to provide high-quality application assurance
- Managing the burden of Operations and Maintenance (O&M), which tends to become more complex as networks increase in complexity
None of these requirements will be surprising to anyone who has been near a corporate network recently. What’s interesting is how Huawei proposes to manage these challenges with its ADN.
One example Jerry likes to use is Huawei’s campus network, which reaches 170+ countries and regions. The ADN delivers better network, application, and terminal experience for campus networks thanks to continuous practices and innovations in Huawei’s office, warehouse, hotel, and exhibition scenarios.
Managing this kind of complexity involves handing off a significant amount of work from humans to automation. For example, in the deployment phase, Huawei’s ADN builds its own deployment model, using a database of inputs from 20,000 networks worldwide that detail network features, customer intent and network configurations. The result is a network configuration that largely frees engineers from the manual drudgery of network planning, design and configuration.
When it comes to fault detection, Jerry conveys the benefits based on fault knowledge graphs through continuous training and learning. Huawei’s ADN, he says, can identify faults in 1 minute, locate them in 3 minutes, and recover them in 5 minutes, and in the end helps to realize proactive O&M.
Huawei’s Autonomous Driving Network are one of the leading examples of what analysts increasingly refer to as intent-based networking. It’s very clear that Huawei believes that it can already achieve this, and that it intends to continue investing substantially in ADN (which, as Jerry notes, is one of Huawei’s strategies for continuous innovation and long-term investment).
To discover how ADN can become a game-changer for the digital enterprise, watch our interview with Jerry which took place at the Mobile World Congress. It’s a fascinating preview of how automation is going toradically change the face of the enterprise.
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