Mindblown: a blog about philosophy.
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Five points to help you avoid choosing the wrong data platform solution
Invaluable points to consider when ensuring your data platform solution is fit for purpose from our CTO Stuart Arthur.
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Cloud Native Data Platform: Reference Architecture
In the latest in his Data Platform Strategy blog series, Stuart Arthur, Pivotl’s CTO provides a common Reference Architecture.
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Putting the rigour into data and AI engineering practices.
In a time of AI-enabled development and unprecedented cyber-attacks, robust engineering practices matter more than ever. Technology leaders, particularly CTO/CIOs come in different guises and offer focus in different areas; let’s just generalise to say that some gravitate more to the business or the politics, others to the creation process or the code and every…
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Unlocking the potential of Data & AI via Pivotl’s Data Platform Strategy
How to leverage unused data – our CTO shares what our data platform strategy is and why it matters to organisations.
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How to Prevent Cloud Costs Spiralling Out of Control
Optimising your cloud investment and sustainably managing costs is a challenge for many organisations. Our CTO shares how to succeed on both.
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Cloud Burst or Bust in the AI Era?
Our NED reflects on the concerns that still exist today as they did almost 15 years ago, surrounding Cloud technology adoption.
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Completing the foundations for data-first transformation
How to deliver the foundations of Data Management, Centre of Excellence and Data Tools in your data transformation
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Introducing Richard Grove – Bringing Large Language Model experience to Pivotl
Welcoming our Artificial Intelligence and Large Language Model expert, Richard Grove to Pivotl
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Thinking Foundationally about Data-Security and Compliance. Blog 3 in the Data-First Thinking series.
Of all of the Data foundation blocks, Security and Compliance is the most important; read why in the 3rd in the series of data blogs from Paul Kearsey.
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Being deliberate with data – blog 2 in the data-first thinking series
A Data-First organisation determines the insight it really needs, rather then rehashing what it already has. Paul Kearsey explains how to be Deliberate with Data.
Got any book recommendations?