Serdar Vural
on 27 February 2025
Experience Edge AI use cases with Canonical at Mobile World Congress Barcelona 2025
Artificial Intelligence and Machine Learning (AI/ML) are increasingly driving change in telecommunications. Increased adoption is building organizational confidence in the positive impact that AI can bring, which in turn is leading business leaders to push for AI/ML to expand into new use cases. As such, AI/ML will play a key role in bringing new revenue streams to operators at the telco edge.
At Canonical, we work continuously with customers and partners alike to bring the benefits of edge AI to the telecommunications space. That’s why we’re excited to be at this year’s Mobile World Congress (MWC) event in Barcelona. Canonical will showcase the impact of edge AI in three telco-focused demos. These demos will cover real-life applications for edge AI, and be demonstrated using cutting edge hardware from our partners.
At our booth, we’ll be demonstrating the pivotal role that open source infrastructure, such as Ubuntu and Canonical Kubernetes, continues to play in making edge AI monetization a reality. Our demos are practical and center on three practical edge AI use cases applicable to multiple industry verticals – read on to learn more about each one.
Learn more about our demos
The Canonical booth at MWC 2025 (Booth 2A90, Hall 2) will feature three AI/ML demos. Each demo will show how open source infrastructure is indispensable in making AI/ML a real opportunity for telecoms, with a particular focus on bare metal Kubernetes scenarios at the edge, delivered by Canonical Kubernetes for edge AI. As Canonical works directly with IHVs to certify our solutions for their hardware, all of our demos will feature solutions that can run out of the box.
In our demos, you’ll experience the benefit of running business applications on a performant software stack that is specially tailored to deliver innovation for business agility and efficiency. With Canonical’s software stack that runs on Ubuntu, edge AI applications can benefit from the latest silicon advancements with streamlined processing and information delivery between devices and business services.
Enhancing workplace safety
Our first demo will run on the enterprise AI hardware platform Dell PowerEdge XR8000 (running Intel Xeon scalable processors), with Ubuntu 24.04 LTS and Canonical Kubernetes 1.32 LTS. On this joint stack of hardware and software, we’ll demonstrate how edge AI can enhance workplace safety.
We’ll deploy a cloud-native AI/ML workload on Canonical Kubernetes to receive a live video stream, in order to monitor workers for safety assurance. Upon detecting an anomaly, the AI alerts an operator to take action and alleviate the issue.
Automated greeting in customer assistance scenarios
As in the first demo, this demo will run on a Dell PowerEdge XR8000 (running Intel Xeon scalable processors), with Ubuntu 24.04 LTS and Canonical Kubernetes 1.32 LTS. An ML workload on Canonical Kubernetes will receive a continuous video feed to detect employee/user badges, parsing the imagery to identify and greet individuals by their names. Pattern recognition and deriving context from detected images has practical applications in multiple scenarios, including automated access control to authorized personnel and visitors.
Smart object detection in manufacturing environments
In the third demo, we will demonstrate an object detection use case with an ML workload. We’ll run Canonical Kubernetes on a HPE ProLiant RL300 Gen11 server platform, powered by Ampere Altra processors. The purpose of this demonstration is to show how businesses can benefit from automated systems that detect various types of objects in different practical use cases, such as streamlining manufacturing processes and ensuring site safety. For instance, manufacturing facilities can deploy AI/ML workloads to detect and identify objects of interest, such as employees, manufacturing tools and machines, and goods on production lines, and continuously and autonomously analyze ongoing processes and flag any anomalies, such as any defective goods, or persons who should not be present in certain areas.
We look forward to connecting with you
We love attending events like MWC 2025, as we believe practical demos are the best way to help organizations understand the real impact that AI/ML can bring to their business.
We can’t wait to connect with you at the biggest telecom event of 2025 to help you realise AI/ML with efficiency. Stop by at Booth 2A90, Hall 2 to experience open source cloud-native infrastructure for edge AI and to talk to us about how Canonical can help you achieve AI/ML at your edge clouds and private mobile deployments.
You are also welcome to reserve a slot to speak to us by clicking the button below.
To learn more about what we’ll be presenting at MWC, visit our dedicated MWC page.
To learn more about Canonical’s telco solutions, visit our website
Further reading
Meet Canonical at the Mobile World Congress 2025 in Barcelona
