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High Digital
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High Digital

High Digital

Articles from the High Digital team on data products, AI systems and custom software.

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88 articles by High Digital
tech-digital-transformation
14 April 2026

Why the Tech Sector is Finally Facing Its Own Digital Transformation

I was chatting with a CTO recently, and they shared an observation that perfectly captures the current state of our industry. For the last two decades, legacy industries

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Mr-Garrison
31 March 2026

When AI Lets You Build Exactly What You Want

Have ever watched South Park? Do you remember an episode called “The Entity”?

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ai-hype-quantum
22 March 2026

The AI Hype Made Us Forget About Quantum (And Why That Is a Dangerous Mistake)

If you spend five minutes on LinkedIn or read any tech publication today, you would think Artificial Intelligence is the only technology that matters. We are entirely consumed by the AI hype cycle.

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AI Tools
16 March 2026

The SaaS Trap: Why Building Bespoke is Finally Cheaper Than Buying Off-the-Shelf

For the last decade, the technology industry has sold us a very convincing lie: Never build software if you can just rent it.

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automating-ml-data
27 February 2026

Building the Factory: Automating Your Data Pipeline

We have reached the end of our journey. Over the last six posts, we have taken a raw, messy dataset and transformed it into a clean, labelled, engineered, and properly split asset ready for modelling.

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mA-2026-awards
27 February 2026

High Digital Named Best Computer Software Business of the Year 2026

We spend a lot of time on our blog and LinkedIn poking fun at the tech industry. We joke about Burger Fish product launches, the dangers of treating AI like unsupervised Minions, and my stubborn, love for old-school OLAP cubes.

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data-leakage
25 February 2026

Don’t Cheat: Proper Splitting and Avoiding Data Leakage

We have now arrived at the most dangerous phase of the data preparation pipeline.

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alchemy
17 February 2026

Alchemy for ML: Turning Raw Data into Signal

If data cleaning is the science of ML preparation, Feature Engineering is the art.

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the-great-cleanup
10 February 2026

The Great Cleanup: Handling Missing Values, Duplicates, and Errors

Welcome to the unglamorous reality of Machine Learning. While Data Scientists love to talk about algorithms, they spend the vast majority of their time here, in the “Janitor Work” phase.

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