Make statistics, knowledge discovery, temporal data mining and databionic AI understandable.
Your domain or development teams want to assess methods, interpret results or build a stronger basis for their own data-driven projects.
Seminars are tailored to the audience and task. Topics can include data quality, distributions and clustering, time-series analysis, forecast evaluation, explainable AI and decision support. University teaching in knowledge discovery, temporal data mining and databionic methods provides the subject foundation.
A seminar or workshop matched to the agreed topics and prior knowledge. Participants work through examples to investigate data, compare methods and interpret results. Scope and learning objectives are established in advance.
Read the technical detail ↓From data quality and distributions through similarity, density estimation and clustering to interpretation of results. The content connects statistical foundations with the knowledge required for a particular decision.
Temporal data mining covers temporal dependencies, forecast evaluation and different time scales. Databionic topics include self-organisation, swarm intelligence and discovery of explainable structures in complex data.
A workshop can address decision-makers who need to assess methods or developers who implement analyses themselves. Prerequisites, examples and learning objectives determine its scope and technical depth.
Option 1
IAP investigates the problem, develops and evaluates the approach, and hands over the agreed prototype with documentation. Your IT team takes responsibility for further product development and operation.
Option 2
IAP develops the agreed application, including its interface and integrations, connects it to the intended workflow, and completes acceptance and handover. Your organisation or operating partner takes responsibility for subsequent operation.
In a free, non-binding 20-minute introductory discussion, we clarify your objective, starting point and a useful next step.
