--- title: 'Telecom AI: a guide for data teams' description: Data is the new oil, and Artificial Intelligence is the way to monetize it. According to an IDC report, Artificial Intelligence (AI), alongside 5G, IoT, and cloud computing, is one of the technologies reshaping the telecom industry. From data-driven decisions to fully automated and self-healing networks, AI developments are accelerating i […] url: https://canonical.com/blog/telecom-ai-guide-for-data-teams?format=md --- 1. [Blog](https://canonical.com/blog) 2. Article --- [anastasiavalti](https://canonical.com/blog/author/anastasiavalti "More about anastasiavalti") 13 April 2021 # Telecom AI: a guide for data teams [5g](https://canonical.com/blog/tag/5g) [AI/ML](https://canonical.com/blog/tag/ai-ml) [data](https://canonical.com/blog/tag/data) [machine learning](https://canonical.com/blog/tag/machine-learning) [Telco](https://canonical.com/blog/tag/telco) [Telecommunications](https://canonical.com/blog/tag/telecommunications) --- Share the article Data is the new oil, and [Artificial Intelligence](https://ubuntu.com/ai) is the way to monetize it. According to an IDC report, Artificial Intelligence (AI), alongside 5G, [IoT](https://ubuntu.com/internet-of-things), and cloud computing, is one of the technologies reshaping the [telecom industry](https://ubuntu.com/telco). From data-driven decisions to fully automated and self-healing networks, AI developments are accelerating innovation and driving costs of operation down. However, while it is easier than ever to implement AI solutions in the telecom space, navigating a landscape of multiple databases, workflow engines and ML frameworks remains difficult. Our latest telco whitepaper aims to provide a guide of existing use-cases for AI/ML in mobile networks. Download to discover: * Key questions to consider around core network, radio network, and enterprise IT parts before implementation, by use case * Recommendations of open source software components for building efficient solutions * Operation tips for AI in production [Download whitepaper](https://ubuntu.com/engage/telecom-ai-guide?utm_source=blog) ## Sign up for our newsletter Get the latest Canonical news and updates in your inbox. Work email: \*I agree to receive information about Canonical's products and services. By submitting this form, I confirm that I have read and agree to [Canonical's Privacy Policy](https://canonical.com/legal/dataprivacy). Sign up ## Share on --- ## Related posts [### Canonical joins the Open Secure AI Alliance](https://canonical.com/blog/open-secure-ai-alliance) Canonical is now part of the Open Secure AI Alliance, announced by NVIDIA with partners across cloud computing, cybersecurity, enterprise software, open source foundations, and... [Canonical](https://canonical.com/blog/author/canonical) 28 August 2026 [### The next era of telco clouds: get open infrastructure choice with Sylva and Canonical Kubernetes](https://canonical.com/blog/the-next-era-of-telco-clouds-get-open-infrastructure-choice-with-sylva-and-canonical-kubernetes) Achieving vendor neutrality in telco clouds requires an infrastructure layer that respects open standards, without wrapping them in rigid platform layers. By combining upstream... [estelacarmona](https://canonical.com/blog/author/estelacarmona) 11 June 2026 [### Beyond tokens per watt – using Ubuntu 26.04 LTS for AI](https://canonical.com/blog/beyond-tokens-per-watt) Tokens per watt (TpW) – the measure of useful AI work produced per watt of energy consumed – is the metric at top of mind for CEOs, heads of AI, and infrastructure teams alike.... [Freyja Cooper](https://canonical.com/blog/author/freyja-cooper) 5 June 2026 [### Securing AI agent workflows on Ubuntu with the new NVIDIA OpenShell snap](https://canonical.com/blog/nvidia-openshell-ubuntu-announcement) By packaging OpenShell as a snap, Canonical is enabling enterprises to confidently run next-generation agentic workflows across local devices, hybrid environments, and private clouds. [Canonical](https://canonical.com/blog/author/canonical) 1 June 2026