Join Jay Schuren, a former data scientist at the US Air Force Research Lab, for a free meet-up on March 5 to learn how leading manufacturing and pharmaceuticals companies are automating the data science process to solve some of the most challenging problems in their industries:

• Find data-driven relationships between process conditions and properties/performance to intelligently explore new process conditions
• After each product gate, determine the probability of success for each process/component
• Identify unplanned attributes that are impacting your process and/or SLAs
• Find patterns in sensor data to identify high-value properties