Phillip currently works for SABIC and is responsible for leveraging applied statistics/data science methodology in broad-based application areas from product/process development to process optimization and reliability, as well as data-driven troubleshooting support to petrochemical plants.
This session will feature lightning talks from industry leaders discussing how they are working to find a balance between operational targets and emissions targets. They will discuss the steps taken to address inefficiencies, the effects on operational optimization and emissions reduction and the lessons learned along the way. You’ll gain practical insights into how data analytics and AI can reduce emissions and subsequently increase operational productivity. After all talks have concluded we will open the floor for discussion and debate.