One of the most important tasks in semiconductor manufacturing: identifying and analyzing defect patterns on wafers. This is exactly where the Wafer Map developed by StatSoft comes in.
The semiconductor industry is characterized by highly complex processes, enormous volumes of data, and constant innovation pressure. To succeed in this environment, companies need not only modern software solutions but also a partner who understands the industry and provides support at eye level.
In semiconductor manufacturing, every detail counts. Whether process engineer, yield engineer, test engineer, or fab manager – all face the same challenges: keeping equipment stable, minimizing defects, ensuring consistent quality, and optimizing yield.
Statistica is an industry-spanning data science platform that has an important role in pharmaceutical manufacturing for monitoring and reporting product quality.
Your data holds the answers to your biggest business challenges. The question is – can you unlock them quickly, securely, and at scale? With Databricks and Snowflake, you can turn even the most complex data into a competitive advantage.
Our client Vetter Pharma has automated more than 100 CPV processes, distributed over 21 cleanrooms, by solution implemented in Statistica.
StatSoft has developed a custom node to use ChatGPT for analysing results of analyses performed in Statistica.
Infrastructure inspections today are still slow, expensive, and mostly manual. How can AI help to decrease risks and make these processes more efficient?