Why the world’s largest digital signage networks use Linux

Deep tech can be characterised as risky, challenging, innovative technologies that solve real-world problems. Emerging areas of deep tech today include autonomous vehicles, Internet of Things, robots, deep learning and virtual reality as well as some underlying enabling technologies. Three attributes in particular characterise deep tech: the potential impact they can have on society, the long development time they need to reach market-readiness and the significant amount of capital required to develop and scale.

Ubuntu was created from the premise that future innovation would be primarily software-driven, and that to foster innovation, it is necessary to empower innovators with free open-source software. In this webinar, we will discuss how innovators can leverage Ubuntu as a platform to realise the potential of their technology endeavors. In particular, we will address the continuum from accelerated development with Ubuntu classic, to product commercialisation and long-term support with Ubuntu Core. We will also share examples of exciting deep tech innovations that are being delivered on Ubuntu.

Over the last decade, organisations have started virtualising their IT workloads and migrating from legacy monolithic infrastructure to cloud environments. Many choose VMware as a provider for their virtualised infrastructure. However, because of the costs associated with VMware licencing, support and professional services, many are not able to meet their primary goal - significantly reduced TCO. In search of alternative solutions, organisations have recently started exploring other platforms such as OpenStack.

In this webinar, we present the key similarities and differences between VMware’s virtualisation offerings and Charmed OpenStack. In addition, we'll provide a detailed cost analysis highlighting the savings an organisation can make by migrating from VMware to Charmed OpenStack.

This webinar also provides a demonstration showing how to migrate an IT workload from VMware to Charmed OpenStack using the Cloud Migration as a Service tool from Cloudbase Solutions - Coriolis®.

Coriolis is the simplest way to migrate Windows or Linux virtual machines alongside their associated storage and networking configurations across multiple cloud platforms. Among the advantages of Coriolis are it’s scalable architecture, agentless design, integrated scheduler and REST API allowing automated operations.

In this webinar, we present the key similarities and differences between VMware’s virtualisation offerings and Charmed OpenStack. In addition, we'll provide a detailed cost analysis highlighting the savings an organisation can make by migrating from VMware to Charmed OpenStack. This webinar also provides a demonstration showing how to migrate an IT workload from VMware to Charmed OpenStack using the Cloud Migration as a Service tool from Cloudbase Solutions - Coriolis.

Artificial Intelligence and Machine Learning adoption in the enterprise is exploding from Silicon Valley to Wall Street with diverse use cases ranging from the analysis of customer behaviour and purchase cycles to diagnosing medical conditions.

Following on from our webinar ‘Getting started with AI’, this webinar will dive into what success looks like when deploying machine learning models, including training, at scale. The key topics are:

Automatic Workflow Orchestration
ML Pipeline development
Kubernetes / Kubeflow Integration
On-device Machine Learning, Edge Inference and Model Federation
On-prem to cloud, on-demand extensibility
Scale-out model serving and inference

This webinar will detail recent advancements in these areas alongside providing actionable insights for viewers to apply to their AI/ML efforts!

AI is transforming industries with rapid innovation cycles and unprecedented automation capabilities. With the right frameworks, tools, and processes, machine learning with Kubeflow can help you accelerate your AI business objectives. Kubeflow is a Kubernetes-native platform that includes the most popular machine learning tools and frameworks, like Tensorflow and PyTorch, and is available on your workstation or in the cloud. Recent use cases include expert systems, workflow automation, pattern recognition across real-time data sets, customer relationship management with predictive behavior, and many more.
The models at the core of this revolution require data - data is the fuel that powers accurate models. How do you get the most from data and ensure it meets your requirements?

This webinar, in partnership with deepsense.ai will cover:

How to get started with defining AI project requirements and objectives
How to prioritize analytical projects in your company
The challenges involved in collecting and storing data and how to avoid them
How to extract values and eliminate complexities
What external sources you should use in your data pipeline

The telco edge can take many shapes depending on the geography, the existing network infrastructure, current and future services to be delivered. No two telcos, today, have the same perceived needs. Additionally, these needs might change drastically depending on what the future holds for new services such as 5G, IOT or AI at the edge.

Join Canonical’s telco team to hear about the strategies and tactics you can adopt to build an edge that can match your requirements of today and tomorrow.

Wide area networks, when managed inefficiently can prove costly for businesses as both hardware and the provisioning of geographically distributed devices can represent a hard cost.

Edge deployment costs can be measured in:

Capital and operational expenses
Power usage
Dissipated heat
Real estate occupied

For businesses looking to set up servers in remote locations with remote site footprint constraints, MAAS provides a compelling model.

MAAS provides a solution to provision hardware and set-up servers remotely, quickly and with limited human intervention. By deploying MAAS businesses can reduce friction in small footprint environments as well as providing an open API-driven way to provision and repurpose nodes in every remote location enabling fast and efficient server provisioning.

In this webinar join Ubuntu MAAS Product Manager, Andres Rodriguez to discuss use cases and how MAAS could benefit your business.

Edge clouds and devices are one of the fastest growth segments for cloud computing. This webinar will dive into the benefits of using Kubernetes as part of your edge strategy - for both edge clouds and edge devices.

We’ll also explore use cases, architecture, and tools that will help you at every stage of your development lifecycle - from development to production deployments at scale. Microk8s and Charmed Kubernetes will be explored in sufficient detail to get you started with Kubernetes on Ubuntu.

Put simply, edge computing is the method of processing data where it is being generated, at the edge of a network, allowing for real time data-processing without latency as opposed to sending it to a data centre. Since these ‘edge devices’ are integrated to the physical world and interact with people, it can be said that the edge is the physical location where things and people connect to the cloud.

The drive to edge computing has been born out of necessity as a result of the huge amounts of data being generated by devices. With the advancement of ‘smart-tech’ generating vast amounts of data daily, edge computing is here to stay and will continue to provide cost effective security assurances, speed of compute and scalability for businesses.

Join our upcoming webinar hosted by Galem Kayo, Ubuntu Product Manager to understand what is driving businesses to process their data at the edge and how you can add an edge computing layer to your business infrastructure.

Whether you’re exploring what AI can do for your business and how to get started; have developed machine learning models you’re looking to deploy in production at scale; want to optimise your models for performance, audit your neural network for adversarial attacks or orchestrate your data pipelines, this webinar will provide an overview of what you need to achieve your goals.

With data often described as the new electricity powering the 4th industrial revolution, and many leading companies falling behind innovative newcomers, we will discuss how you can maximise the value of your data, and where to use transfer learning or find more data when needed to train models for accurate predictions.

In this webinar you will also learn:

1. Which AI solutions are ready for production and for which applications.

2. About open-source state-of-the-art frameworks and pre-trained models ready to be fine-tuned and deployed with minimal effort to realise your intelligent automation objectives.

3. About current advancements and limitations in a technology moving at an unprecedented pace, powered by big data, advanced algorithms and infinite cloud resources.

4. How you can manage change and prepare for the impact to your people.

Continuous Integration, Continuous Delivery, and Continuous Deployment are foundational practices for fully automated DevOps. In this talk, we'll cover the following areas:

1) Key technology areas, highlighting some of the popular implementations.

2) Deployment diagrams, showing several models for how the technology can be deployed

3) Getting Started tools, including reference tools in GitHub that can be used for experimentation

4) Demo of using the reference tools - due to time constraints, this will be similar to cooking shows - we'll demonstrate the start, and the end.

This webinar will leverage Ubuntu, Kubernetes, Microk8s, and a host of CI/CD technologies like Jenkins, GitLab, Spinnaker.

The automotive industry is expanding its frontiers with the outbreak of connected cars and autonomous driving. This revolution opens new ecosystems, technologies and services but these bring new challenges, significant complexity and call for fresh thinking. Join Christian Renaud, Research Vice President, IoT at 451 Research and Loic Minier, Director of IoT Field Engineering at Canonical to discuss the complexity of managing software for the ultimate edge device including development, extensibility, risk mitigation and security factors.

Join this webinar to find out about the latest security features of
Ubuntu Core, the tiny, transactional version of Ubuntu designed
specifically for IoT. Learn about how Ubuntu Core leverages the latest
security enhancements from Ubuntu 18.04 LTS and combines this with the
secure, always-up-to-date and transactional nature of snaps to provide
the best platform on which to build IoT devices. Alex Murray, Technical
Lead of the Ubuntu Security Team, also details upcoming security
enhancements on the future roadmap for Ubuntu Core.

Traditional development methods do not scale into the IoT sphere. Strong inter-dependencies and blurred boundaries among components in the edge device stack result in fragmentation, slow updates, security issues, increased cost, and reduced reliability of platforms. This webinar showcases the use of Ubuntu Core and snaps as an alternative to the existing model, with a strong focus on isolation, reliability and an accelerated development cycle.

Join Canonical Product Director Stephan Fabel and Ubuntu Product Managers to discuss everything new in Ubuntu 19.04 ‘Disco Dingo'.


The latest Ubuntu update was developed with a focus on security and makes the latest open source software accessible to developers and innovators so they can accelerate time to value. 19.04 offers the first chance to experience the Linux 5.0 kernel, OpenStack Stein and the latest Kubernetes version 1.14.


Alongside these updates Ubuntu 19.04 contains productivity improvements focussed on eliminating friction on existing features and enabling enterprises to operate at speed and scale.

This webinar presents an introduction to Charmed Openstack whilst discussing the common security issues and scenarios faced with O7k in production, the impact it has on LCM and the importance of full automation.

Learn how Canonical's approach to O7k allows implementation of advanced security features while not impacting the ability to upgrade and LCM the underlying codebase.

AI and ML adoption in the enterprise is exploding from Silicon Valley to Wall Street. Ubuntu is becoming the premier platform for these ambitions — from developer workstations, to racks, to clouds and to the edge with smart connected IoT. But with new developer trends comes a plethora of new technologies and terminologies to understand.

In this webinar, join Canonical’s Kubernetes Product Manager Carmine Rimi for:
∙ A decoding of key concepts in AI/ML
∙ A look into why AI applications and their development are reshaping company’s IT
∙ A deep dive into how enterprises are applying devops practices to their ML infrastructure and workflows
∙ An introduction to Canonical AI / ML portfolio from Ubuntu to the Canonical Distribution of Kubernetes and and how to get started quickly with your project

And in addition, we’ll be answering some of these questions:
∙ What do Kubeflow, Tensorflow, Jupyter, Edge AI, and GPGPUs do?
∙ What’s the difference between AI and ML?
∙ What is an AI model? How do you train it? How do you develop / improve it? How do you execute it?

And finally, we’ll be taking the time to answer your questions in a Q&A session

Need to get up to speed with Kubernetes? This webinar will give you the primer to the Kubernetes platform that you need. You’ve probably heard that Kubernetes is great technology, but have you considered how you can use it in the enterprise? We’ll give a comprehensive overview, demos, and even ideas into how it can be used in your business!

Join this webinar for an opportunity to...
>See how companies can save money and go faster with Kubernetes
>Learn how you can get started with Kubernetes from deployment to your first workloads
>Get an opportunity for Q&A with Canonical’s Container experts