As we’re over halfway through 2025, we’re rounding up the most popular content read by IT directors, CIOs and other tech leaders on our industry insights blog so far this year.
These articles and resources cover some of the key priorities facing tech leaders today – from implementing scalable data platforms and preparing for long-term AI adoption, to preventing shadow AI, assessing data readiness and embedding engineering principles into delivery practices.
Building Data Foundations That Are Resilient, Scalable and AI Ready
Managing Director, Philip, outlines eight principles for building reliable data foundations, offering a framework for organisations to prepare their data for AI initiatives.
Applying AI Across the Software Delivery Lifecycle (SDLC)
Head of Consulting, Adam, explores how AI – especially generative AI tools – is reshaping software engineering, and looks at mapping the opportunities and risks in implementing AI across engineering delivery processes.
How to Prevent AI Adoption from Becoming Shadow AI
Technical Director, Richard, examines the growing risk of unsanctioned AI tool use, and outlines ten steps to move from shadow AI to trustworthy, governed adoption, without limiting innovation or momentum.
Data Readiness: What It Actually Means
Head of TechOps and Infrastructure, Mark, discusses the importance of technical, cultural and governance readiness, and provides a checklist for a data readiness audit covering strategy, data inventory and infrastructure.
Engineering Principles for Quality Software Delivery
In this detailed guide, Technical Director, Richard, explores how a clear set of engineering principles can improve consistency, decision-making and knowledge sharing across teams. The guide outlines ten principles that support better outcomes at scale – from testing and automation, to delivery ownership and continuous improvement.
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