Videos
HPE on AI in Networking, Automation, and Lifecycle Transformation
Insights
- AI is now embedded across the entire network lifecycle, transforming how infrastructure is designed, deployed, and managed.
- Automation is shifting networks toward predictable, SLA-driven operations by reducing manual errors and standardizing execution.
- As AI takes over repetitive tasks, human roles are evolving toward higher-value design, strategy, and customer engagement.
At MWC 2026, Ludovic Hazard of HPE Networking explores how AI is moving beyond experimentation to become a core layer within network infrastructure. The conversation highlights how AI is now embedded across the full network lifecycle, from design and provisioning to validation and Day 2 operations. He explains how AI Ops is enabling real-time insights that simplify infrastructure management, reduce downtime, and minimize incident tickets. The discussion also emphasizes how automation is bringing predictability to deployment and service delivery, allowing organizations to commit more confidently to timelines and SLAs. Together, these shifts are not only improving operational efficiency but also enabling engineers and architects to focus on higher-value work and client engagement.
Ludovic Hazard:
So what I see everywhere at Mobile World Congress this year is AI for sure. So now there is, I think, a clear mapping between AI and what it brings to telco infrastructure.
Three, about automation and I hear so that lifecycle management, I would say so many AI Ops as well. Now I think it's really about providing value to the infrastructure.
AI is now embedded across the entire network lifecycle
Ludovic Hazard:
At HP networking, we have different roles for AI. So AI in the daily operations to manage the lifecycle of the infrastructure. So it can be the zero or you design or you plan. So here you can get some insights from AI about of respecting some guidance on the famous architecture, for example. AI will help now to automate the provisioning, but also to automate the checking, the validation point that the provisioning has provided what we expect. And the last part that is the biggest, I think today is really Day 2 operations. So it's really where we talk about AI Ops, what AI can provide in term of insights to simplify management of the infrastructure. And that's what we have to automate. And one key value here is how we can optimize the downtime, and also we can reduce the number of incident tickets.
Automation delivers predictability and elevates human work
Ludovic Hazard:
Automation provide first of all predictability. That means that when we define a task, we can as an organization to a client commit on the time to deploy. We see one thing we can commit also our SLA because we see something that is more or less industrialized that is done by AI engines rather than I would say human. So we remove all manual errors, let's say, and all these kind of maybe repetitive jobs that was done manually before, now is done by AI agents basically more and more.
And this allows network operators, even architects to switch, I would say their daily jobs to something that is more valuable for them and also for the enterprise that is more, I would say on the design phase of that and also more on the relationship with clients basically.
So this is I would say the main benefits we see it's yeah, automation, repetitive task commitment in term of so predictable result and commitment in term of time to deploy, but also more time for human to do more valuable I would say activities.
