Insights

Perspectives for technology leaders.

Architecture · Issue 1

Architecting for AI-Driven Organisations: The Imperative of Modern Core Technologies

AI strategy can no longer be separated from the architecture of the enterprise core. Artificial Intelligence and Machine Learning are frequently cited as the drivers of digital transformation — the promise of new insights, operational efficiency, and improved customer experience. But that promise is ultimately constrained by the architecture through which AI accesses data, knowledge and business processes.

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Development · Issue 1

Accelerating Development in the Age of Generative AI

Most AI coding tools speed up one stage of delivery: writing code. But software moves through many stages, and the slowest one sets the pace. If coding wasn't the slowest, speeding it up may do little for delivery. AI can also change where the slowest stage is, and finding out where it is now means measuring the whole flow.

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Risk · Issue 1

Navigating the Uncharted Risks of Agentic AI in the Enterprise

Agentic AI is moving from experimentation into enterprise workflows, giving AI systems the ability not only to generate information but to interpret context, use tools, access data, and take actions. For CIOs, this represents a fundamental shift in the security model. The question is no longer simply whether an AI model can be manipulated. It is what an agent can do if it is manipulated, and whether the organisation can detect and contain the consequences.

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Strategy · Issue 2

Navigating the Future of Technology: A Strategic Imperative for CIOs

As technology continues to evolve at an unprecedented pace, CIOs are faced with the daunting task of navigating the complexities of innovation while ensuring their organizations remain competitive. This week, we delve into the theme of strategy, exploring the essential principles that distinguish exceptional technology leaders from their peers. In today's fast-paced digital landscape, a well-crafted strategy is no longer a luxury, but a necessity for survival.

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Strategy · Issue 1

AI-Driven Governance: What CIOs Need This Week

Artificial intelligence governance has moved from a theoretical concern to an operational imperative. CIOs who delay building structured governance frameworks risk both regulatory exposure and competitive disadvantage. The window for treating governance as a future-state problem has closed. Organisations that act now will set the terms; those that wait will be forced to retrofit controls into systems already making consequential decisions.

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