Helping OEMs scale up to big data volumes
These slides were presented at SEMICON Europa 2018.
The market is demanding faster throughput, smaller feature sizes and higher quality. Data is the fuel that drives these improvements – from more sensors to faster sampling and greater integration of different sources. Collecting larger data volumes allows for deeper insight into critical process and production metrics and provides the possibility of using advanced analytics and machine learning to speed defect analysis and reduce repair times. However, this explosion of big data can overwhelm traditional data sharing and storage mechanisms. Join us as we discuss cutting edge approaches to managing your data including new storage solutions, best practices for where your data should live and methods for sharing that data with your analysis systems and global experts.
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