Raw & Roasted: Context for AI Agents

Description

AI agents are only as good as their understanding of the data they work with. An agent can calculate a metric in seconds. However, whether 'net sales' means what the company understands it to mean in this context is another question.In practice, this is where we see the gap: data is available, definitions are inconsistent, and context is often lacking. A semantic layer ensures that terms such as revenue or customer are defined uniformly across the company. The context layer goes a step further: it helps to correctly interpret figures, such as whether a decline in August is seasonally normal or a real warning signal.These two essential layers from the Hopmann AI Foundation will be explained by our AI-ready Data Stack Manager Tobias Lanzl at our next Raw & Roasted.Raw & Roasted is our compact morning format: 30-minute presentation on marketing, data & AI. Following that, an open question session over freshly brewed barista coffee.Agenda for September 17, 2026:📍 Hopmann Office, Munich-Neuhausen💻 Participation via Zoom is also possible🎟 Free, limited spots available onsite