CIM Toronto Branch Luncheon - Practical cloud solutions for Mining

Summary: Practical cloud solutions for mining: normalizing mine, fleet, and mill data with a connected industrial ecosystem.

Abstract:

Efficient data management is crucial in the post-Industry 4.0 landscape for process optimization, decision-making, and operational resilience. Collecting and standardizing operations data from mining, fleet, and process plant remains a challenge, especially across multiple geographically dispersed mine sites, often resulting in missed business opportunities. Leveraging cloud technology can streamline enterprise data reporting, enhance decision-making, and ensure timely and secure data access across all organizational levels. Cloud solutions also facilitate efficient data access, enterprise system integration, and secure third-party access to mission-critical information.

In this presentation, AVEVA will introduce new concepts being developed in the cloud, and Centerra Gold will showcase a sample solution implementation.

Speakers:

Max Mckay - Cloud Ecosystem Principal, AVEVA

George Pavlou - Data Scientist, Centerra Gold Inc.

Introductions:

Laurisha Bynoe - CIM Toronto Branch Chair

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Max McKay is an experienced professional in the industrial software industry, currently serving as a Cloud Ecosystem Principal at AVEVA in Montreal. With over 15 years of expertise, Max specializes in helping clients identify business challenges and crafting tailored solutions that drive measurable outcomes. His focus spans the Metals, Mining, Manufacturing and Infrastructure industries, where he plays a key role in supporting the CONNECT cloud ecosystem. Prior to it, he held consultative roles around digital transformation and value engineering. He is recognized for simplifying complex technology problems, guiding clients through decision cycles, and crafting business cases that highlight the value of technology solutions. Max holds a degree in Chemical Engineering from Université de Sherbrooke.

George Pavlou is a Data Scientist at Centerra Gold with over 13 years of experience in the mining industry. An alumnus of Queen's University Smith School of Business, he holds a Master of Management in Artificial Intelligence (MMAI), an engineering degree, and is a certified Project Management Professional (PMP). After a successful career as a Mining Engineer and Study Manager with organizations like Barrick Gold, George pivoted to data science to address gaps in the industry's use of big data for business decisions. At Centerra Gold, he leads data-centric and technology initiatives, leveraging his expertise in analytics and operational technology to enhance the company's technological growth. His unique blend of mining experience and data science expertise provides invaluable insights into the intersection of digital technology and mining.

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