Reducing cloud costs is near the top of most IT leaders’ priorities – but it’s never as simple as just cutting back. The spend has to come down without compromising the security, resilience, and performance the business depends on. Azure
Why Purview and Defender are powerful – and hard to get right Welcome to part 3 of our AI Trust Triangle series. In our first article, we introduced the Trust Triangle as a practical way to think about building trust in an AI-enabled workplace. In
In the previous article, we explored the hidden drivers that quietly inflate storage consumption in Microsoft 365 – versioning bloat, ROT data, cloud sprawl, and over-retention. Most organisations recognise at least some of these issues once they start looking closely
Part 2: From Planning to Practice In Part 1 of this series, we explored how to lay the groundwork for data governance, from defining your vision and engaging stakeholders to securing sponsorship and setting up the right structure. Now it’s
How leading organisations are preparing Microsoft 365 for Copilot while reducing storage spend. Date: Tuesday 18th August at 12pm UTC+1 AI is only as effective as the information it can access. Yet many organisations begin their AI journey without first
Why modern identity is more than just login In the first article in this series, we introduced the AI Trust Triangle – identity, data security, and governance – as a practical way to think about trust in an AI-enabled workplace. This article focuses on
Part 1: Setting the Foundations Most organisations are sitting on a mountain of data, but far fewer can say with confidence that it’s well managed, well protected, or even well understood. As data volumes grow and regulatory pressure mounts, the
As AI adoption accelerates across the enterprise, many organisations are facing a critical challenge: how to unlock value from AI while maintaining visibility, control and trust. In this webinar, Cloud Essentials and Microsoft experts explore how IT, data governance, security
The widespread rollout of Copilot and other generative AI tools has thrown organisational data into the spotlight. For many organisations, it’s prompted a wave of “soul-searching”: What sensitive data do we hold? Where is it stored? Who can access it,
AI has been adopted at a pace most organisations have never had to deal with before – and the truth is, it hasn’t rolled out neatly. In most organisations, it’s been adopted in pockets. A Copilot here, an automation there,
