Legacy silos trapped sensor data. Now, predictive models optimize zinc filtration and AI agents review contracts.
A global leader in zinc mining and non-ferrous metal processing operating extraction and smelting sites across multiple countries.
Legacy architecture confined data expertise to IT, creating bottlenecks where business units could not independently access insights. The fragmented...
“Databricks was a turning point for us, allowing us to transition from a fragmented, centralized system to a unified, scalable platform that drives collaboration and innovation. Their support and tools showed us a new way to work with and present data across Nexa.”
Integrated zinc producer with mining and smelting operations in Latin America.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.
Technicians manually checked 2 million cooling holes monthly. Now, ML targets specific defects, cutting resolution to near real-time.
Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Safety data only surfaced after police-involved incidents. Now, AI dashcams alert drivers to correct risky behaviors in real time.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Without video, managers couldn't refute false claims or spot phone use. Now, AI dashcams flag risky habits to guide driver coaching.
Legacy silos trapped sensor data. Now, predictive models optimize zinc filtration and AI agents review contracts.
A global leader in zinc mining and non-ferrous metal processing operating extraction and smelting sites across multiple countries.
Legacy architecture confined data expertise to IT, creating bottlenecks where business units could not independently access insights. The fragmented...
“Databricks was a turning point for us, allowing us to transition from a fragmented, centralized system to a unified, scalable platform that drives collaboration and innovation. Their support and tools showed us a new way to work with and present data across Nexa.”
Integrated zinc producer with mining and smelting operations in Latin America.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.
Technicians manually checked 2 million cooling holes monthly. Now, ML targets specific defects, cutting resolution to near real-time.
Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Safety data only surfaced after police-involved incidents. Now, AI dashcams alert drivers to correct risky behaviors in real time.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Without video, managers couldn't refute false claims or spot phone use. Now, AI dashcams flag risky habits to guide driver coaching.