En français
McGill COSMO, CIM Montréal, in collaboration with CIM MES Montréal, are pleased to present:
James MacNeil
Mining Specialist
McKinsey & Co., NY
who will deliver a presentation on:
Harnessing Potential of Digital and Advanced Analytics in Transforming Mining Companies
Abstract: In the mining industry, recent improvements in commodity prices and resulting cash flows, have led many companies to invest heavily in innovative technologies to improve their productivity. These bundles of improvements are coming in the form of digital transformations happening in waves at mines in remote locations across the world. Over the past few years, high priority digital transformation initiatives have been automated mobile equipment, predictive maintenance and advanced dispatching techniques. The next wave will likely include stochastic mine planning, advanced exploration and mineral processing techniques which have the ability to further elevate miner’s profits.
BIO: James is currently a specialist consultant in the Mining and Metals practice at McKinsey & Company in New York. He counsels a global base of clients on strategies to increase their profits through the application of advanced mine planning techniques and digital technologies. Prior to McKinsey, James was a Senior Research Assistant in the COSMO Laboratory at McGill. James holds a bachelor’s and Master’s degree in Mining Engineering.
Friday, November 2nd, 2018
12:15pm – 1:45pm
Refreshments will be served
SCHEDULE
Registration: 12h15PM
Presentation: 12h30PM
Closing Remarks: 1h40PM
McGill University
Room 126, FDA Building, 3450 University Street, Montréal
CAMPUS MAP
Adams Building, 3450 University Street (third building on the left as you head North on University Street, between Milton and Sherbrooke), Montréal, Québec H3A 0E8
The seminar is complimentary and seats are limited. Register by Thursday, November 1, at 12noon to secure your place. Please RSVP to Lise Chartrand, Secretary, CIM Montreal Branch at icm-cim-mtl@videotron.ca or Tel. (514) 425-5553 if you are interested in attending. This is an excellent networking opportunity and there is no charge to attend. So we can best service all who are interested and able to join us at this upcoming event please register for it if you are confident that you are indeed able to attend it. Thank you for your interest and understanding.
Thank you to our sponsor, McGill University’s COSMO (Stochastic Mine Planning Laboratory), for providing the space.
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