data integration

BHP’s artificial intelligence (AI) mining strategy centers on execution, not technology alone. At PDAC 2026, Mikko Tepponen outlined how data integration, AI, and system-level platforms are reshaping mining decisions from exploration to operations. As ore bodies become deeper and more complex, and demand for critical minerals rises, BHP is prioritizing faster decision cycles, improved capital allocation, and operational stability. Key initiatives include centralized exploration data platforms, computer vision in iron ore operations, and digital twins at Escondida. The company reports over US$2 billion in value from digital initiatives, but emphasizes that scalable execution and integrated systems will define long-term competitive advantage. [more]

PDAC 2026 Technical Sessions outline how artificial intelligence and advanced geophysics are being applied in mineral exploration. The program includes an AI session covering computer vision, machine learning for structural modeling, and implementation considerations for large language models. Two geophysics sessions focus on integrated exploration case histories and newer methods, including magnetotellurics, inversion workflows, airborne geophysics analytics, and muon tomography. Regional technical sessions add examples from Latin America and brownfield exploration. Across the agenda, presentations emphasize multi-dataset interpretation, risk reduction, and operational constraints. The sessions collectively frame technology adoption as workflow-driven and incremental. This article summarizes sessions and key themes. [more]