Enabling Peta-Scale Anomaly Detection in Manufacturing
A leading Asian electronics manufacturer was struggling with the complexity and disparity of its data infrastructure. To address this issue and improve business KPIs, the company decided to implement a data centralization project and establish an end-to-end AI platform. The goal was to classify faults and defects in the production process, at the earliest stage possible, using anomaly detection algorithms and maintain and adjust the production floor machines accordingly. Read more about the challenges and the Solution SQream offers
