Improving Concentration Performance Through Big Data: A Process and Lessons Learned

Abstract

Case Study: Improving Big Concentration Performance through Data

  • Understanding the project background and goals
  • Looking at the process – Accessing data through insights and model development
  • Looking at the latest Innovations related to proxy development
  • Lessons learned from implementing plant control and model adoption
  • After its completion in 2019 - Assessing where the project is today

Date
Aug 31, 2022 9:40 AM — 10:10 AM
Location
Toronto, ON
Allyson Stoll
Allyson Stoll

My research interests include advanced artificial intelligence applications in mining and mineral processing.