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    Event Replay Chat
    Good day everyone. Nice to be here. Yahaya Abdul-Qudus, Geological Society of Nigeria
    Daniel Barankin
    Apr 8 2025
    Welcome Yahaya, happy to have you at the event!
    An honour Daniel
    eahrens
    Apr 8 2025
    Question for Gordon .. is our software based on a commercial system?
    eahrens
    Apr 8 2025
    correction "is your"
    Pardon my inquisitiveness, but a lot of questions are begging for answers. If you can kindly bear with me and accommodate the following; thank you in anticipation. 1. On Ore Body Delineation How does your AI approach handle sparse and noisy geoscientific datasets, particularly in greenfield terrains where drilling data is limited? What types of geophysical or geochemical datasets have proven most compatible with your AI models for accurate ore body detection? How does your system distinguish between mineralized and non-mineralized zones in complex geological settings—e.g., structurally deformed or weathered terrains? Are your AI models capable of integrating artisanal mining activity data (e.g., from satellite or UAV imagery) to support ore body delineation? 2. On Resource Estimation How does your AI model address the issue of grade variability and nugget effect in resource estimation, especially for gold? Have you benchmarked AI-driven resource estimates against conventional block modeling or geostatistical methods like kriging? What were the results? Can your platform quantify uncertainty in resource estimation, and if so, how are confidence intervals or risk profiles generated? Is your AI workflow compliant with industry reporting standards like NI 43-101 or JORC? If yes, how do you ensure auditability of the model? 3. On Deployment and Adaptability What are the minimum data requirements (e.g., number of drill holes, line spacing of geophysical surveys) for your AI system to generate reliable outputs? Can your AI tools be adapted to underexplored jurisdictions like Nigeria, where data quality and availability may be limited? Do your models support transfer learning—i.e., learning from data-rich regions and applying insights to data-scarce but geologically similar areas?
    Daniel Barankin
    Apr 8 2025
    great questions, not sure we have time to ask all of them but I'll bring some of these up when the conversation allows
    Thanks Daniel, pardon my eagerness. It's an exciting prospect, but I really need to know the capabilities as well as limitations.
    Gordana Slepcev is quite right about the challenges resource depletion pose.
    great points on cost control/efficiency and discipline by Gordon Bogden
    Thank you all

    AI in Action: New Tools for Mining Industry

    Description
    This virtual event brings together industry leaders with extensive experience in mining operations, capital project management, and technology integration to explore how artificial intelligence is transforming the mining sector. Experts from 6ix Inc., O-MOD, Lomiko Metals, VerAi Discoveries, and ONYEN will share insights on innovative AI applications and tools that are revolutionizing mining industry practices.
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