Mindblown: a blog about philosophy.
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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.
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Moving beyond nice-to-have data dashboards: treating data platforms as a strategic business imperative worth trillions
Data work is often seen as a simple means of producing analysis via analytics tools – a way to track historic performance and create reports or dashboards: often viewed as a nice-to-have investment option, particularly in a tough economic outlook. But this limited perspective misses the real opportunity of data. Whilst every organisation likes to…
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Introducing Neena to Pivotl
Introducing Neena Edwards to the team, bringing data expertise to support our customers’ ambitions with data.
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Future-proofing your organisation with a strategic approach to data integration
What role does data play in future proofing your organisation from evolving needs and new technology? Our CTO shares how to take a strategic approach.
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What can we take from Digital Services delivery and apply to AI services delivery?
The public sector has a huge advantage to scaling AI given it’s investment in digital services. Richard Grove, Pivotl’s MD of AI explains why.
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Unleashing the promise of AI with Data Observability: A core component of DataOps
Read about the vital practice of Data Observability for scaling DataOps and implementing AI initiatives that go beyond spinning around with prototypes and PoCs.
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HOW TO MOVE FROM AI PROOF OF CONCEPT TO AI DELIVERY AT SCALE
Richard Grove, our MD of AI shares three keys ways to deliver AI at scale.
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Rethinking devolution and partnership working from a Data-First perspective in Local and Regional Government
Our MD of Data, Paul Kearsey explains why a data-first approach to Multi-Agency partnerships is a must.
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