Chris Noyes

 Senior Manager

Presentation Description:

This presentation will look at a specific Factory IoT application implemented by Deloitte on a Graham Packaging blow molding line. The speaker will show data structure and analysis examples and share outcomes and lessons learned.

A discussion of the following will be included:

• Criticality of setting up effective and structured data collection and storage
• Translating data into an effective analysis structure
• Converting analysis into value for the blow molding production operation
  

Speaker Biography:

Chris helps companies address their burning supply chain issues with analytics. He has led analytics projects addressing poor on-time delivery, high cost of quality, and low asset efficiency. To do so, he has leveraged several cognitive technologies including natural language processing, machine learning, and computer vision.

Chris holds an MBA from Washington University in St. Louis, a B.S. in Electrical Engineering from Northeastern University, and a M.S. in Machine Learning and Artificial Intelligence from the Georgia Institute of Technology College of Computing.

Prior to pursuing his MBA, Chris wrote artificial intelligence algorithms for DoD intelligence agencies.