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.
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.
Read more
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.
Read more
Why 17th-Century Secretary Script Is So Difficult
Some projects are technical. Some are operational. And every now and then, one is quietly profound.
Read more
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.
Read more
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
Read more
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
Read more
Safeguarding AI from Prompt Injection Vulnerabilities
As more organisations build AI-driven interfaces, agents and assistants, the promise of generative models is met by a new class of security threat: prompt injection.
Read more
Data Without Boundaries
In the modern era of data-driven business, access to high-quality, diverse datasets is the foundation for AI and advanced analytics
Read more
The Rise of DIY AI in the Era of Data Sovereignty
Introduction: The Rise of DIY AI in the Era of Data Sovereignty
Read moreHave an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.