133 in data science and AI. Existing employees can offer important operational context and experience, while fresh talent can bring in technical know-how and innovative thinking. What role do Microsoft platforms play in digital transformation across mining operations? Microsoft’s ecosystem is helping mining companies bridge the historic divide between IT and OT. Azure provides the cloud backbone to aggregate vast volumes of operational data, while Power BI turns that data into actionable insights for both the control room and boardroom. Integrated with AVEVA’s industrial platforms, these tools enable continuous monitoring of asset health, energy usage and plant performance across multiple sites. Take Agnico Eagle, the world’s third-largest gold producer. Faced with fragmented systems and limited access to critical datasets, the company turned to Azure, Power BI and Databricks to centralise and contextualise its operations data. The result? Streamlined analytics, faster insights and a scalable foundation for AI-enabled decision-making across its global mines network. Agnico Eagle’s integrated operations centres now serve as digital control hubs, supporting proactive responses and vast gains in efficiency, safety, and sustainability. Early pilot results show three per cent efficiency gain in truck performance and cost reductions from improved operator practices and asset health. Similarly, American copper producer Asarco has completed a major digital transformation, supported by systems integration from Casne Engineering and advanced digital tools from Microsoft and AVEVA. Historically, all of Asarco’s processing plants operated in silos. There was little interdepartmental communication, leading to repeated failures and missed production targets. To address these issues, the company implemented AVEVA PI Vision, AVEVA PI System, and Power BI to gain visibility into realtime plant performance. Casne, known for its expertise in IT and operational technology integration, infrastructure monitoring and advanced analytics, helped Asarco implement standardised key performance indicator reporting and centralised data pipelines – creating a more responsive and predictive operational model across its mining sites. The improvements have been immense. Supervisors can act early. Predictive analytics catches major issues before they happen – like identifying a lube pump malfunction through a minor temperature rise. Microsoft’s and AVEVA’s combined solutions work to support more connected, datadriven teams. These are essential attributes in geographically dispersed and operationally intense industries like mining. To learn more, watch the case study webinar at: bit.ly/45vQQ6Y INTERVIEW Photo: iStock/Alfio Manciagli INDUSTRIALS & MANUFACTURING
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