INSIGHTS
Writing on AI, data and governance…
Articles published on LinkedIn. Each one links to the full piece. Follow on LinkedIn to see new articles as they come out.
Strategy
A repeatable method to deliver real business value, safely, early and often
Five steps distilled from three years of AI and data strategy work: start with business strategy, deliver one high-value use case, make only the data you need AI-ready, build skills and organisation, then rinse and repeat as a self-funding relay race.
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Data & Governance
Is it time for the Data Office to vacate the middle ground?
Agents and AI assistants change what the data office is for. The shift: from report production to curated data products, from fixing data downstream to tagging and classifying at ingestion, and from periodic review to controls embedded by design.
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Delivery
An integrated approach to ML Ops, LLM Ops and Data Ops is the key to unlocking the value of AI at scale
Moving models from the lab into core business processes needs more than technology. Processes, control frameworks and reporting structures must be industrialised together, as one enterprise-wide operating discipline.
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Data & Governance
Data compliance and innovation can go hand in hand, and it is essential they do
For financial services CDOs, unlocking the commercial value of data and managing data risk are not competing agendas. The balance between innovation and control is a leadership capability, not a trade-off.
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