Computer Weekly Buyer’s Guides map the IT buying cycle of our readership onto relevant editorial that will inform and educate readers and help them in making the right buying decision.
On a three-week cycle, the publication runs a series of articles focused on a particular category of software/hardware/IT service. Articles appear in the features section of the Computer Weekly ezine, which can be downloaded as a PDF or viewed as an SEO-optimised Buyer’s Guide page on the Computer Weekly website.
The Buyer’s Guide PDF downloads point readers to the online Buyer’s Guide, where they will be able to access all the articles in one place, along with additional content, such as blog posts and related articles.
The editorial team updates the Buyer’s Guide schedule on a quarterly basis to ensure the chosen technologies are topical and to respond to short-term commercial opportunities.
Buyer’s Guides comprise three separate features, which combine to become a standalone piece of evergreen content that readers can refer back to.
Each part includes a written article, plus relevant background material, as well as exclusive online-only multimedia content and infographics. Here is the schedule for H1 2026:
Data sovereignty
Jan 13 to Feb 2
The last few years has seen increasing awareness concerning data residency and the ability to maintain access to corporate data and applications delivered as a cloud service given the current geopolitical climate. This series of articles explores how IT and business leaders can work with IT providers to ensure they have continued ensure access to data and enterprise applications.
AI in security tools
Feb 3 to Feb 23
Predictive analytics, machine learning and artificial intelligence promise to revolutionise threat detection, offering automation of incident response and the ability to run risk assessments dynamically. We find out at how new tooling is helping IT security experts tackle next generation cyber attacks.
Neoclouds
Feb 24 to Mar 23
While hyperscalers are focusing on building out huge arrays of AI-acceleration hardware layered with software stacks, there is growing demand for bare metal hosted services, focused simply on providing the graphics processor unit hardware businesses need to deploy their own AI infrastructure. In this series we explore neoclouds and look at how they are being used.
Managing AI’s energy footprint
Mar 24 to Apr 13
The International Energy Agency (IEA) projects that datacentres – both AI-driven and non-AI-driven – could use 80% more energy in 2026 than in 2022. While next generation hardware is more efficient, we assess how datacentres are addressing AI power demand.
Persistent storage for containers
Apr 14 to May 5
In this series of articles, we look at how enterprise IT is delivering the storage requirements needed by traditional applications when they are adapted to run in a cloud-native environment using containerisation.
AI for network admins
May 5 to Jun 8
The flow of network packets provides a rich dataset, for training machine learning and predictive analytics. In this series of articles we explore current trends in the use of AI-enabled tools that use advanced modelling to help network admins manage networks more effectively.
