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    • Subsurface mining
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    • Amit Juneja
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    • Jacques Micaelli
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    Use Cases

    Mining 4 mining
    Mining 4 mining

    Mining industry can benefit greatly from a new generation of data analytics, dashboarding and AI visualization. But discussing with the professionals, it appears that a main bottleneck remains to be solved: The access to the legacy data stored in documents to enable new exploration models and advanced analytics.

    Reading a composite log as a geologist!
    Reading a composite log as a geologist!

    Whatever the subsurface industry, geologists used to synthesize in complex and very graphical reports everything they have seen, measured and interpreted while drilling 50’ hole for water or 21,000’ well for oil. These composite logs are rich, frequently very esthetic, but not saved in a format which makes the access to data easy.

    Handwritten forms
    Handwritten forms

    In a lot of organizations and particularly in the federal, state or city administrations, most data processes start with the capture of information within defined forms. iQC data capture is based at on the detection of information and the recognition of the context where it occurs. It is easy to train our AI to capture automatically even handwritten data and image artifacts such as selection marks in any types of forms .

    Mining 4 mining
    Mining 4 mining

    Mining industry can benefit greatly from a new generation of data analytics, dashboarding and AI visualization. But discussing with the professionals, it appears that a main bottleneck remains to be solved: The access to the legacy data stored in documents to enable new exploration models and advanced analytics.

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