Artificial intelligence insights from the projects we ship.
Articles on applied AI from our client and AI Lab work — including the AI Initiatives Series on Hermes, Hanse, Fore-Site and our proposal app, plus the security and data-readiness questions that come first.
Why Safety Leaders Are Betting on HSE Tech
The role of the Health, Safety, and Environment (HSE) professional is undergoing a massive shift. For decades, safety management was synonymous with administrative overhead
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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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Sherlock Holmes Mode: Getting to Know Your Data
In Part 2, we discussed the importance of labelling your data to create a ground truth. Now that we have our dataset, the temptation is to immediately start “fixing” it.
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The Ground Truth: Strategies for High-Quality Data Labeling
In Part 1, we discussed why data preparation is the bedrock of Machine Learning. Now, we enter the most critical phase of that preparation: Creating the Ground Truth.
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Garbage In, Garbage Out: Why Data Prep is the Real Work of Machine Learning
There is a romanticised version of Machine Learning (ML) that exists in movies and marketing pitch decks. In this version, the hard work is the “AI” itself, complex neural networks, cutting-edge algorithms, and futuristic code.
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Why 17th-Century Secretary Script Is So Difficult
Some projects are technical. Some are operational. And every now and then, one is quietly profound.
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When Data Becomes Art
How We See the World: London has a new landmark, and for once it’s not another glazed tower, street installation or temporary sculpture that people take selfies with for a week and forget.
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A New Chapter in Data Engineering
High Digital has officially kicked off a new data warehouse implementation that redefines how modern analytics environments are designed
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Ask Your Data Anything: Natural Language Queries in Modern Analytics
For decades, accessing business data meant writing structured queries in SQL or relying on analysts to interpret dashboards. But as businesses grow and teams diversify
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