Understanding Sidekick
New to Sidekick? Start here. These articles explain what Sidekick is, the problem it solves, and why enterprises choose it over building their own data catalog. No technical background required.
Data dictionary or enterprise ontology: knowing your data vs. understanding it
A data dictionary tells you what a field is called. An ontology tells you what it means in relation to everything else. This article explains the difference, why most organisations only ever get to the dictionary, and why the ontology is the layer that makes AI actually work.
Why you cannot build AI on data you do not understand
AI initiatives don't usually fail because the model is wrong. They fail because nobody knows what data they have, where it lives, or whether it can be trusted. Here's why data understanding has to come first — and what it actually involves.
The 73% problem: why most enterprise AI projects fail before they start
Most enterprise AI projects stall, and the reason is almost never the technology. This article explains why the foundation underneath the AI is what actually decides whether a project ships, and what changes when an organisation understands its data before building on it.