Articles
Exploring artificial intelligence adoption, governance, and transformation strategies for enterprise leaders and Boards.
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Upskilling for the AI Era: Building a Future-Ready Workforce
The scramble for AI talent repeats the early cloud years, and the answer is the same: upskill the people already there instead of chasing hires.
Implementing Decision Analytics: A Practical Guide for Boards
Decision analytics at Board level works when staged: a parallel input before a replacement, human judgement in the loop while the record builds.
Transforming the Board: Using Decision Analytics for Strategic Advantage
Decision analytics moves the Board from backward-looking metrics to predictive indicators that model possible futures, and changes how directors exercise judgement.
Navigating the AI Regulatory Maze: A Boardroom Survival Guide
The EU AI Act is in force, with fines up to €35 million or 7% of turnover. Boards must comply without losing speed.
From Shadow AI to Strategic Asset: Building Your AI Centre of Excellence
Shadow AI is already inside the organisation. A structured AI Centre of Excellence turns it from unmanaged risk into a strategic asset Boards can govern.
Increasing AI Maturity: Navigating the AI Stages of Adoption with the Five Pillars
Readiness for the next AI stage is a Five Pillars question, not a calendar one: a function advances only when every pillar reaches the threshold.
Understanding the AI Stages of Adoption: A framework for business leaders
The AI Stages of Adoption locate an organisation, function by function, on a five-stage path from Experimenting to Scaling, and show how to move.
Demystifying data monetisation: Insights for private equity portfolio companies
Data turns into value when a portfolio company knows what it holds and how to use it: my Chief Wine Officer talk for private equity.
AI is transforming governance: Six key Boardroom priorities
AI takes Boards from overseeing hundreds of decisions a day to millions a second, each needing to be transparent, explainable and correct: six priorities follow.
The enterprise data advantage: Turning information assets into strategic value
Data becomes an asset when its structure, meaning, and relationships are known. A 1998 newspaper archive taught me how information turns into value.
The future of AI expertise: Building and managing AI-capable teams
AI's promise of productivity and innovation is delivered by teams, not tools. Building AI-capable teams draws on what the Cloud Centre of Excellence taught me.
Measuring AI value: A strategic framework for Boards and business leaders
Measuring AI value needs more than total cost of ownership. A strategic framework for Boards, built on what the cloud business case taught me.
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