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One of the unavoidable steps for the next generation of Data Science and Artificial Intelligence technologies applied to mining
One of the unavoidable steps for the next generation of Data Science and Artificial Intelligence technologies applied to mining
We stand by collaborating with the Community to grow businesses together. Watching these partnerships bear fruits is our greatest reward! 
In August, IMSS (represented by Christian Osorio Morales and Luis Martinez, PhD), a trust-worthy consultancy partner of ours in Peru/Chile, offered training sessions for the Coldelco team, who are now fully experts in the use of the MiningMath technology!
These are mining professionals strengthening ties, expanding opportunities and reaching higher goals by working together.
Our special thanks to all of you who trust MiningMath and choose to take part in this unique leap forward in the mining field! 
Contact us and be the next one to make it differently!
With constant developments since 2013, MiningMath has reached a mature and robust state. We are the first and only single-step mining optimization engine available in the market!
Reblocking is a method used to decrease the number of blocks in a block model by...
Same scenario, different results? Is it possible to find different results for t...
MiningMath supports and encourages the translation of its knowledge base to mult...
For importing databases, MiningMath uses the metric system exclusively. In case ...
This tutorial provides a detailed guidance to the pages in the knowledge base fo...
MiningMath’s results are only possible due to its proprietary Math Program...
Multiple, complex constraints increase the likelihood of not finding or not exis...
MiningMath allows mining managers to improve their strategic analysis through ri...
It is possible to indicate a time limit in hours before running a scenario in th...
In order to take the maximum of MiningMath’s Optimization we recommend this fl...
