Digital Newsletter
Each week our editor Phil Alsop rounds up the most popular articles, videos and expert opinions. We compile this into a Digital Newsletter and send it straight to your inbox every week.
Digital Magazines
We'll let you know each time a new edition of Digitalisation World is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The Digitalisation World Video magazine contains the latest Zoom interviews with experts in the industry.
In this interview, Niall Mackey, Commercial Director at TopSec Cloud Solutions, explains why email remains the dominant attack vector for SMBs and enterprises alike. He discusses the limits of built-in Microsoft 365 protections, the role of DMARC/SPF/DKIM in both security and deliverability, and how MSPs can use evidence-led assessments to prove risk, increase customer trust, and build profitable security services.
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In this interview, Kurt Daniel, CEO of Virtuozzo, discusses how infrastructure efficiency, GPU monetisation, automation and unified management platforms are helping service providers and enterprises navigate the economic realities of AI at scale. As AI workloads drive demand for GPUs, cloud resources and scalable infrastructure, organisations are facing growing pressure to control costs without sacrificing performance.
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Gavin Guinane, Field CTO EMEA at Glean, discusses how enterprises are struggling with AI agent sprawl, governance challenges, and proving ROI at scale. He explores the importance of structured agent lifecycles, stronger guardrails, and treating internal data as a strategic asset to unlock sustainable AI value.
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In this interview, Tim Coach, Chief Evangelist of Community and Channels at Cynomi, brings a rare perspective shaped by experience across client, MSP, and vendor roles, exploring how security is evolving from bolt-on tooling into embedded practice. He also returns to a central idea: the most successful MSPs are defined less by their tech stack and more by how well they understand and tailor their services to each client’s business, alongside the strength of the relationships they build along the way.
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James Drayson, Co-Founder & CEO of Locai Labs and Mark Boost, Founder and CEO of Civo, explains how Locai Labs, the UK’s sovereign AI company, and Civo, the British sovereign cloud provider, have signed a Memorandum of Understanding (MoU) to undertake Project Mercury - a programme to build the UK’s first pre-trained, sovereign large language models (LLMs), With the aim of empowering UK enterprises and government with secure, home-grown frontier models designed to drive innovation and accelerate Britain’s AI independence.
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James Drayson, Co-Founder & CEO of Locai Labs and Mark Boost, Founder and CEO of Civo, explains how Locai Labs, the UK’s sovereign AI company, and Civo, the British sovereign cloud provider, have signed a Memorandum of Understanding (MoU) to undertake Project Mercury - a programme to build the UK’s first pre-trained, sovereign large language models (LLMs), With the aim of empowering UK enterprises and government with secure, home-grown frontier models designed to drive innovation and accelerate Britain’s AI independence.
Watch Online
James Drayson, Co-Founder & CEO of Locai Labs and Mark Boost, Founder and CEO of Civo, explains how Locai Labs, the UK’s sovereign AI company, and Civo, the British sovereign cloud provider, have signed a Memorandum of Understanding (MoU) to undertake Project Mercury - a programme to build the UK’s first pre-trained, sovereign large language models (LLMs), With the aim of empowering UK enterprises and government with secure, home-grown frontier models designed to drive innovation and accelerate Britain’s AI independence.
Watch Online
Bill Tesarek, President of Alsay, explains that, as Texas accelerates its position as a hub for AI infrastructure, a less visible constraint is beginning to surface: water availability may become the limiting factor for future growth. While most attention remains on power and grid capacity, operators inside water infrastructure systems are seeing early signals that demand tied to AI is scaling faster than the systems designed to support it.
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