AI case study

Nexa ResourcesMining operations optimization

Legacy silos trapped sensor data. Now, predictive models optimize zinc filtration and AI agents review contracts.

Published

Key results

Annual Savings
$370k
Faster Processing
800%

Result highlights

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The story

Context

A global leader in zinc mining and non-ferrous metal processing operating extraction and smelting sites across multiple countries.

Challenge

Legacy architecture confined data expertise to IT, creating bottlenecks where business units could not independently access insights. The fragmented...

Solution
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Quotes

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The company

Nexa Resources logo

Nexa Resources

nexaresources.com

Integrated zinc producer with mining and smelting operations in Latin America.

IndustryEnergy & Utilities
LocationLuxembourg City, Luxembourg
Employees5K-10K
Founded1956

The vendor

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

Use case

Nexa Resources's Mining operations optimization is part of this use case:

Predictive Analytics
56 case studies(+43% YoY)
Proven impact?
LowModerateVery Strong
7.9Strong
3.1Moderatewithin Operations

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