Presentation: Agnico Eagle: How CONNECT Data Services Enables Analytics in Mining

2024 - AVEVA World - Paris - Innovation (CONNECT, AI, etc.)

Agnico Eagle: How CONNECT Data Services Enables Analytics in Mining

Agnico Eagle is leveraging CONNECT in collaboration with Databricks to drive cutting-edge data science initiatives, with a primary focus on optimizing fuel utilization for their mobile fleet. In this presentation, they will explore how they applied machine learning algorithms to vehicle telemetry data, uncovering critical links between fuel consumption, motor statistics, and high-cost equipment failures. By automating data flows through CONNECT data services, Agnico Eagle has achieved a scalable, resilient data engineering framework, which accelerates the iteration process in their fuel analytics projects. As a part of their lighthouse engagement with AVEVA, they will also share insights into how CONNECT’s advanced visualization and analytics tools have enhanced their project, showcasing how this innovative approach has driven measurable success in fleet management and operational efficiency.


Industry

Mining Metals and Minerals


Company

Agnico Eagle Mines Ltd.

Speaker

Michael Bigras

Michael Bigras has been working in operational technology for 8 years and has been in his current role at Agnico Eagle for 2 years.


Company

AEM

Speaker

Karl Leetmaa

Karl has a M.Eng and B.Eng. in Materials Engineering from McGill University with over 16 years of experience working in the extractive metallurgical industry. He joined Agnico Eagle in 2009 as part of Technical Services where he worked on various economic studies and test work programs. He transferred to Meadowbank in 2013 first as project metallurgist, then took on the role of senior metallurgist leading the team responsible for process optimization and troubleshooting. He joined the Innovation group in 2022 as Metallurgy Subject Matter Expert working on digitalization initiatives, continuing in this role after transfering to Digital Transformation in 2024.


Session Code

AW24-CIN-D1-SESS-321

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