AI at the Cape of Good Hope: IPS Showcases Machine Learning Innovations at CIRP CMS 2023 in Cape Town
Nikolai West presented the paper "Unsupervised Anomaly Detection in Unbalanced Time Series Data from Screw Driving Processes Using K-Means Clustering." Within the scope of the ProData project, he demonstrated how unsupervised learning methods can be used for efficient detection of anomalies in screw driving processes.
Marius Syberg presented research results in the field of sales forecasting for customer-oriented manufacturing companies. His presentation on the paper "Framework for Predictive Sales and Demand Planning in Customer-Oriented Manufacturing Systems Using Data Enrichment and Machine Learning", developed as part of the PrABCast project, showed how machine learning and data enrichment can improve a company's sales forecasting for SMEs.
The conference in the picturesque setting of Cape Town provided a unique opportunity for exchange between researchers and production experts from all over the world, bringing new ideas and perspectives.