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WEBINAR: Outrunning the Data Wave – Why we need to keep pace with the coming 400% data surge

Source

SemiWiki

Published

TL;DR

AI Generated

The semiconductor manufacturing industry is facing a significant surge in data volume, with data growth projected to reach 400% or more by 2030. To keep pace with this data wave, the industry is adopting advanced semiconductor design strategies, chiplets, and optical I/O integration to enhance performance and modularity. The increasing data complexity requires precise data tracking, cross-domain correlation, and insightful analytics to optimize yield, reliability, and throughput. Engineers are advised to implement unified data infrastructure, commonality correlation, scalable analytics workflows, and data genealogy management to effectively manage the data surge. Manufacturers need to build resilient data infrastructure and analytics workflows to leverage the benefits of chiplets and photonics without being overwhelmed by the data generated.