Webinar: Capturing knowledge for Enterprise AI systems

​Enterprise AI is only as intelligent as the knowledge it can draw upon. LLMs let organisations open up sources that were previously hard to utilize, such as PDFs and Word documents. But at scale, a harder problem surfaces: the business was never documented the way it would now need to be. Three problems tend to arise:

• ​There are gaps where knowledge is missing.

• ​There are discrepancies between sources, often because files are out of date.

• ​Much of how the work that gets done is tacit, i.e. captured in people’s heads, never written down.

​In this 60-minute session, you’ll see how a knowledge engine surfaces and closes these gaps:

• ​Knowledge that is missing or contradictory, made visible.

• ​Lack of proper observability by drawing on lessons from data product development e.g. monitor health checks of the knowledge, understand usage patterns.

• ​How the knowledge governance loop enables experts to monitor and update the knowledge, improving results over time.

​We’ll present this through a hands-on demo showing these principles in action.

​When

• ​Date: Friday, 19 June 2026

• ​Time: 10:00 to 11:00 CET

​For whom

​This webinar is ideally suited for:

• ​Data & AI leaders responsible for getting reliable results from AI.

• ​Knowledge & domain owners whose expertise the AI depends on.

• ​Data engineers & architects (interested in) building the knowledge layer.