When the network is no longer just infrastructure, but a business driver
There’s a certain kind of conference where you come home not just with notes, but with a compass. For me, this year’s HPE Tech Jam in Vienna was exactly that. The 5-day event wasn’t just about showcasing technological innovations, but about the shift in mindset that will define corporate IT strategies in the coming years: AI-native networks, autonomous operations, Zero Trust security, and real business value.
It became clear within the first few days that HPE—together with the Aruba and Juniper portfolios—is guided by a unified vision: how to make the network faster, smarter, and more secure, while also making it easier to manage.

Unified AIOps: When Aruba and Juniper Really Speak the Same Language
One of the strongest messages at the start of the conference was that HPE does not intend to simply “stitch together” Aruba and Juniper solutions, but rather to achieve true, deep integration.
The Unified AIOps concept is the flagship of this initiative:
- The Juniper Mist Large Experience Model (LEM) is now available in HPE Aruba Networking Central. This isn’t just marketing: LEM analyzes billions of real-world data points (Zoom, Teams, video traffic) and supplements them with synthetic data from digital twins, enabling it to not only respond to but also predict problems.
- Agentic Mesh technology is also available in the Mist environment, which goes beyond simple alerts to include root-cause analysis and autonomous or assisted intervention.
- Mist integrates Aruba Central’s global NOC views and organizational insights, providing a unified user experience.
- The new Wi-Fi 7 access points are compatible with both platforms—this is finally real buyer protection, not just a promise.
This is the point where the “self-driving network” no longer feels like a buzzword, but rather a realistic goal.
On-premise AIOps: When the Cloud Isn’t an Option, but AI Is
The presentation of HPE Aruba Networking Central On-Premises was particularly interesting. We are seeing more and more customers in environments where a fully cloud-based solution is not feasible due to data residency requirements or regulatory constraints—but that doesn’t mean they have to give up on AI.
The new version:
- Brings generative and traditional AIOps capabilities to on-premises environments,
- actionable AI alerts and proactive remediation,
- intelligent client analysis,
- and a well-designed, modern UI.
The message was very clear: it is not the deployment model that determines the level of innovation.
Zero Trust in Practice – Rethinking NAC
One of the most memorable in-depth technical sessions on Tuesday was the presentation on Access Assured / Juniper Mist NAC. We didn’t just discuss Zero Trust in theory; we talked about how to implement it effectively in real-world networks.
Key takeaways:
- A unified policy engine for both wired and wireless networks, with integration with IdPs and third-party systems.
- Dynamic policy assignment, group-based policies, 802.1X, and MACsec – micro-segmentation truly takes place at the access layer.
- Marvis VNA doesn’t just say “login failed”; it tracks the entire authentication flow from the RADIUS exchange to certificate verification.
- BYOD, multi-vendor environments, certificate management – finally, these are no longer taboo topics.
AI Factories, Data Centers, and Ultra Ethernet
The "Juniper Networking in AI Factories" session made it clear that AI isn't just about GPUs. The network is just as critical a component.
- The new QFX5250 switch with Ultra Ethernet is specifically optimized for communication between GPUs.
- Apstra intent-based automation, JPR, SRX/vSRX—all of these are essential for multi-tenant AI factories.
- The integrations with OpsRamp, GreenLake, and Juniper DC Assurance demonstrate that management is also approached with a full-stack mindset.
Location tracking, Wi-Fi 7, and "invisible infrastructure"
On Wednesday, the focus was clearly on the experience. Mist Location Services and Premium Analytics demonstrated how to:
- battery-less indoor positioning,
- device tracking and wayfinding,
- and a context-aware user experience
using vBLE and UWB technology, without an overlay network.
The Wi-Fi 7 deep dive was also technically impressive: new access points, new Marvis capabilities, coverage versus capacity considerations, personal WLAN, and Mist Edge. It became clear here that Wi-Fi is no longer “just radio,” but a data source for AI.
Migration, Architecture, and the Fundamentals of Self-Driving Networks
One of the key topics on Thursday was AOS10 and the new Central. The most important takeaway: this is not a version update, but an architectural shift.
A new configuration model, intent-based workflows, and scalable segmentation—all designed to make the network suitable for automated, AI-driven operations.
EX switching and the Distributed Enterprise update nicely complemented this: the wired side is also part of the AI-native approach.
A roadmap for the coming years
Overall, HPE Tech Jam 2026 wasn’t just a great source of knowledge for me—it also served as a true compass. I can see things more clearly now:
- where is the corporate network headed?
- how is AI becoming a tangible business factor?
- and how can all of this be implemented securely, scalably, and with a focus on customer value?


