Harbr Data

Ship and forget leaves data providers blind to how their data is used. Here's how to pay down your learning debt and turn data into a living product.

AI agents don't consume data like humans do. Learn why 'AI-ready' data isn't enough, and what data providers need to govern non-deterministic AI access.

External data sharing used to mean a handful of known partners and fairly predictable requests. Now AI agents consume data continuously, on behalf of organisations you've never dealt with, deciding in the moment what they need. If that access sits outside

We look at "The Empty Promise of Data Moats" seven years on: what stuck, what it missed, and what it means for anyone sitting on valuable data.

61% of large UK firms can't account for how AI uses their sensitive data overseas. Harbr explores the cross-border governance gap, and how to close it.

You've done everything by the book. The budget's signed off, the infrastructure's in place, you've hired the talent and chosen your models. And then, somewhere between a promising proof of concept and anything resembling production, your AI project runs o

In April 2026, the Department for Business and Trade published Smart Data 2035, the government's long-term strategy for embedding mandatory data sharing schemes across the UK economy. The target: five or more active schemes by 2030, twenty or more by 2035