Mindblown: a blog about philosophy.
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Lessons of the Recent Past – Strategy’s Role in Scaling Digital Solutions, Must be Remembered in the AI Age
For our public services to truly benefit from AI there’ll need to be a significant maturing in the current conceptual narrative about the technology and in the practical approach to its deployment. Put another way, there’s a massive difference between developing the right data foundations to scale AI to solve society’s biggest problems versus just…
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Managing Data Compliance Without Data Duplication or Legal Risks
In today’s data enabled, AI-ready world, organisations face the difficult challenge of leveraging data effectively while staying compliant with data privacy laws and trying to do the right thing. The key is to access critical insights without needlessly and carelessly duplicating and copying sensitive information and inadvertently violating regulations like GDPR, CCPA, HIPAA, and…
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Time to embrace semantics – getting your data ready for AI
The great executive leadership cries of the mid 2020’s – “Why aren’t we scaling AI?” “Why are we stuck at Pilots?”. “Microsoft tell me it’s easy – why are we making such heavy weather of it?”. The answer is partly semantic. Not in the usual sense of the word but in the sense that a…
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Data Visualisation or Digital Veneer – Getting beyond false data maturity dawns to become ready for AI
In his latest blog post my colleague Stuart Arthur warned how we should be wary of ‘digital veneers’ that cover up poor foundations. Controversial Opinion, but experience tells me Data visualisation can be such a veneer. While the impact of a well-designed visual dashboard to a decision maker who has been trawling through spreadsheets looking…
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Why a Data Fabric May Be the Key to Scaling Your Enterprise AI
Taking a Data Fabric Approach While the benefits of a data fabric architecture are clear, implementation requires thoughtful planning and execution. Digital leaders on this journey require three concrete steps – Examine, Evaluate, and Establish: By taking these steps, digital leaders can begin transforming their data infrastructure to support enterprise-wide AI initiatives. A well-implemented data…
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How Data Centric Architecture Can Turn Transformation Failure into Success
In their mission to digitally transform, many organisations pour their efforts into sleek user interfaces, new customer portals, dashboards, and AI prototypes – only to find that beneath the surface, the same old problems still exist.
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State of Digital Government Review
Some thoughts on the State of Digital Government Review published yesterday. To keep it concise (ish) I’ve highlighted 4 things…
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Thinking beyond AI replacing you: The end of bespoke apps (and SaaS landscape) as we know it
The debate about AI often gets weighed down by questions like, “Will AI replace me or my team?” There is understandable concern, but this misses a key point about the real transformation that is happening.
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Microsoft Fabric’s place in the Azure data ecosystem
With the emergence of Microsoft Fabric, many organisations are reassessing their data analytics strategies. Key questions include: Should you migrate from Azure Synapse Analytics to Fabric? Is Fabric set to replace Synapse entirely?
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Why Microsoft Power Apps is a better option than traditional custom app development for a lot of organisations
Organisations globally are grappling with the same challenges: how to deliver better services more quickly and cost effectively than ever before whilst grappling with the correct posture in response to the explosion of AI hype, and what that means to them.
Got any book recommendations?