Skip to main content

Your submission was sent successfully! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close

Thank you for contacting us. A member of our team will be in touch shortly. Close

An error occurred while submitting your form. Please try again or file a bug report. Close

  1. Blog
  2. Article

Sarah Dickinson
on 31 July 2017

How to pick a winning IoT business model – Infographic


The potential for IoT is huge but many businesses are still grappling with how it can benefit their organisation and how exactly to get started. Canonical recently surveyed over 360 IoT professionals to examine their current and future challenges plus opportunities that exist for organisations looking to become IoT ready. This infographic looks at the findings of 3 key areas that businesses need to consider; monetisation, skills and security considerations.

For more information on these 3 areas and IoT business models, click here to download the full report.

Related posts


Jehudi
13 December 2025

Why you should retire your Microsoft Azure Consumption Commitment (MACC) with Ubuntu Pro

Ubuntu Article

Fulfilling your Microsoft Azure Consumption Commitment (MACC) requires efficient planning. Discover how allocating your MACC to Ubuntu Pro allows you to meet consumption goals while securing your open source supply chain and automating compliance. ...


Hugo Huang
11 December 2025

Java 25 now available on Google Cloud Serverless

Canonical announcements Article

[December 11, 2025] Today Canonical, the publisher of Ubuntu, announced the immediate availability of Java 25 across Google Cloud’s serverless portfolio, including Cloud Run, App Engine, and Cloud Functions. This release is the result of a collaboration between Google Cloud and Canonical, and it will allow developers to access the latest ...


Hugo Huang
11 December 2025

How to launch a Deep Learning VM on Google Cloud

AI Article

Setting up a local Deep Learning environment can be a headache. Between managing CUDA drivers, resolving Python library conflicts, and ensuring you have enough GPU power, you often spend more time configuring than coding. Google Cloud and Canonical work together to solve this with Deep Learning VM Images, which use Ubuntu Accelerator Opti ...