Tailings closure has lacked a single authoritative reference. The SME Tailings Closure Handbook answers that gap: fourteen chapters by leading practitioners and researchers spanning landform design, surface water, hydrogeology, geotechnics, geochemistry, covers, ecology, economics, social, and governance. Synthesis across the disciplines produced more than the chapters alone: an integrating closure framework in which closure is a condition sustained across the facility life-cycle rather than a terminal event. Within the framework, an unbroken chain runs from closure vision through principles and objectives to verifiable success criteria; multiple accounts analysis governs transparent option selection; and the Closure Design Basis Report carries commitments across decades, generations, and phase transitions to relinquishment. The framework converts a familiar aspiration into a working method, allowing designers of new facilities to truly begin with the end in mind.

Artificial Intelligence (AI) is rapidly reshaping how mining and mineral processing operations collect information, make decisions, and improve performance. Designed for mining professionals, technical staff, and industry leaders, this webinar provides an accessible introduction to AI and its growing role across the mineral industry. Participants will learn what AI is, how it differs from conventional software, and what it can realistically enable in operational settings. The session will introduce major AI branches, including machine learning, deep learning, computer vision, natural language processing, generative AI, and intelligent automation. It will also examine commonly available AI tools, their capabilities, and their limitations, helping participants distinguish practical solutions from unrealistic expectations. Examples from mining and industrial environments will illustrate applications in exploration, geological modeling, equipment monitoring, predictive maintenance, process optimization, safety, environmental management, and operational decision support. The webinar will also address important implementation challenges, including data quality and availability, integration with existing systems, workforce readiness, cybersecurity, model reliability, and organizational adoption. Finally, participants will explore emerging opportunities for AI integration across mining and mineral processing operations and gain a practical foundation for identifying high-value applications within their own organizations, with clearer priorities for experimentation, investment, workforce development, and long-term digital transformation strategies.