Why Edge?

Edge computing is about moving the “brains” of the operation closer to where the data is actually born. Whether it’s a barcode scanner in a grocery aisle or a vibration sensor on a massive power turbine, the goal is the same: speed, efficiency, and autonomy.

In a modern retail setup, each physical store acts as its own mini-datacenter. Deploying Kubernetes at the edge allows for managing thousands of locations, and ensures that if a single cluster or local network fails, the rest of the enterprise remains unaffected.

In industries like utilities and power, Machine Edge refers to compute power embedded directly into or alongside high-value assets. Here local compute enables predictive maintenance, bridges legacy hardware via protocol translation, and secures critical infrastructure through local control.

Who is this event for?

Whether you’re optimizing workloads, building local AI inference models, managing distributed data pipelines, or solving connectivity gaps, this event is for you.

Join a community where the biggest players in industrial and retail sectors discuss running workloads at the edge, the hard-fought battles and the solutions that actually work.

What to expect

Sign up and join us for a day of learning and connecting with others navigating the universe of edge computing. Coffee and lunch is on us!

Data and AI at the Edge, Factory, and Company level with Rasmus Steiniche, CEO @ Neurospace

Managing Data and AI is hard work. It becomes even more difficult when you have to make it work at the edge, factory, and company level. There are different technologies and approaches in most companies and in reallity we should try and simplify the workflow not make it more complex. Data is also a funny beat because it changes character as soon as it leaves the machines, lines, and even factories. This is where metadata becomes a hard requirement and not a nice to have for gaining value especially when applying AI.

Come join the discussion and learn from hard earned lessons from the trenches.

Manage Edge Nodes at Scale with Michael Bang, Associate Principal Solution architect @ RedHat

Are you facing a growing appetite for compute at the edge where AI is also included? Are you looking into an OT network where you need to manage a growing number of machines? If you have ever dreamt of an easy and secure onboarding process for new edge machines, you know that managing fleets of edge nodes at scale is difficult, and adding the requirements of OT networks makes it even harder.

In this talk, I will show how an immutable OS, utilized through image mode, allows for the same declarative approach as containers. This is combined with Edge Manager, where you can define your fleets in YAML to make the whole lifecycle—from onboarding new machines through patching and decommissioning—easy and efficient.

Open Space Discussion & Networking

Don’t miss this opportunity to be part of open space discussions, and network with fellow-minded colleagues.

The Agenda can change. Note that there is a max. number of participants.