Data & Artificial Intelligence

Ydel has delivered business intelligence and large-scale data work for many years. Data and AI is the continuation of that practice: the same discipline of getting data accurate, governed and available, applied to a wider set of tools.

Many AI initiatives fail for reasons that have nothing to do with models. The data is incomplete, ownership is unclear, or nobody defined what a good answer looks like. We start at that end.

What we cover

• Data platform and warehouse design, including cloud-native architectures
• Data engineering, pipelines and integration from operational systems
• Data quality, lineage and governance
• Analytics, reporting and self-service business intelligence
• Machine learning models for forecasting, classification and anomaly detection
• Applied use of large language models for document processing, search and assistance

A measured approach

We scope AI work against a defined business question and an agreed measure of success, and we are equally willing to advise that a reporting change or a process fix would serve you better than a model. Where models are appropriate, we address how they will be monitored, retrained and governed before they reach production.