A high-level look at what's moving in digital.
We pair what we're seeing on real client projects with the wider data to document the trends worth a closer look — across data engineering, AI, custom software and digital strategy.
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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10 Tech Predictions for 2026: The Year of the "Agentic" Enterprise Author
2025 was a year of friction for the entire tech industry. We saw the “AI Boom” collide with the reality of legacy infrastructure, creating a gap between expectation and delivery.
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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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Spreadsheets as Spectacle: Meet Excel Esports
It sounds ridiculous. Fifteen people hunched over laptops. The screens glow. Fingers fly across keys like speedy dance moves.
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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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Agentic AI for Enterprise will Reshape Digital Operations
Let’s be blunt: most organisations are still treating AI like a glorified intern, useful, clever, occasionally dazzling, but never fully trusted to run the show.
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The Evolution of Data Products
For years, data products have powered business growth, dashboards, reports, and analytics tools helping leaders see what happened and why. But these systems still rely heavily on human
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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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