TIBCO Analytics Meetup

Every quarter, our analytics experts present a 30-minute update to our virtual user community. This quarter's presentation includes a demo on how to identify and classify patterns of interest in big data, which is a critical part of any manufacturing scenario.

Agenda

• TIBCO Data Science update by Michael O’Connell, Chief Analytics Officer
• Demo: "Machine Learning for Pattern Recognition, an example of classifying semiconductor wafers" by Nico Rode and Adam Faskowitz, Data Scientists
• TIBCO Community update by Heleen Snelting, Director Data Science
• Live Q&A

You’ll learn about:

• Recent innovation projects and community activities
• TIBCO’s novel approach to pattern recognition as applied to semiconductor wafer maps
• How to use a combination of machine learning techniques and to identify patterns quickly and accurately from a large amount of data
• How to use these patterns to train and deploy a model to classify new wafers in real time