AI in industry – detecting anomalies without labels

Webinar: AI in industry – detecting anomalies without labels

Artificial intelligence (AI) offers industrial companies enormous opportunities to unlock the hidden knowledge in sensor data, machine signals, image/video inspections and operating logs – but in reality, cleanly labelled datasets for training classic supervised models are often missing. In this webinar we show how unsupervised anomaly detection can identify deviations, process disruptions and quality problems early. You get a compact overview of suitable data sources, basic data preparation steps and field-proven approaches to detect and use critical deviations even without labelled data – for quality, availability and maintenance. We also discuss the most important practical challenges of implementation in productive industrial environments and give advice on what to watch out for when starting. The webinar is aimed at professionals and managers from production, quality and maintenance as well as data/AI teams and decision-makers who want to advance AI initiatives purposefully.

This webinar is part of the IV task force on artificial intelligence, organized by ReqPOOL.