Title
Mining less waste and more value with AI-driven insights
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Company
Nexa Resources
…tions and sustainable growth. Chiseling away from legacy systems and data silos Nexa Resources is a global leader in the mining industry, specializing in the extraction and processing of non-ferrous metals, such as zinc and copper. With operations in several countries, Nexa is committed to innovation, sustaina…
Description
Nexa Resources built a unified Databricks Data + AI Platform with Unity Catalog governance, deploying predictive models for zinc filtration and cadmium removal and AI agents integrating GPT-4 and Llama 3.1 for contract analysis and a digital library assistant, generating $370,000 in combined annual savings and cutting IT supplier contract analysis time by 800%.
…f the most impactful results was the optimization of key operational processes. Predictive models for zinc filtration and cadmium removal, developed and deployed using Databricks, generated combined annual savings of $370,000. These models not only enhanced resource utilization but also reduced waste and…
…a implemented AI agents to address various operational challenges. For example, the AI-powered IT supplier contract analysis tool reduced processing time by 800%, enabling faster decision-making and freeing up resources for more strategic in…
…sion-making and freeing up resources for more strategic initiatives. Similarly, the digital library agent allowed employees to instantly access critical operational guidelines, manuals and policies through natural language search, boosting productivity and simplifying workflows. In the health and safety doma…
Problem
Nexa faced significant challenges with its legacy data architecture and centralized operational model. Data and AI expertise were confined to the IT team, creating bottlenecks for innovation and restricting business units' ability to independently leverage data for decision-making.
…allenges with their legacy data architecture and centralized operational model. Data and AI expertise were confined to the IT team, which created bottlenecks for innovation and restricted business units’ ability to independently leverage data for decision-making. This also led to fragmented data ownership and a lack of governance across depa…
Solution
Nexa implemented Delta Lake with a medallion architecture, SQL Serverless workflows to automate pipelines, and Unity Catalog for centralized access management, data lineage and compliance, then used MLflow to streamline the ML lifecycle and integrated pretrained models like GPT-4 and Llama 3.1 to build custom AI agents, including an IT supplier contract analysis tool and a digital library agent for natural language search.
…consistency and reliability for predictive analytics and business intelligence. SQL Serverless workflows further enhanced automation by orchestrating data pipelines and automating repetitive tasks. This capability reduced operational overhead, allowing data engineers to focus…
…and LLMOps pipelines, Nexa enabled advanced analytics across the organization. Using MLflow, the company streamlined the machine learning lifecycle, ensuring efficiency, traceability and faster iteration, while Databricks facilitated the integration of pretrained models like GPT-4 and Llama 3.1, accelerating the development of custom AI applications tailored to their needs. These advancements empowered Nexa to scale AI capabilities across departments,…
Business value
Predictive models for zinc filtration and cadmium removal generated combined annual savings of $370,000, the AI-powered IT supplier contract analysis tool reduced processing time by 800%, and an ingestion framework reduced development cycles by 300%.
…f the most impactful results was the optimization of key operational processes. Predictive models for zinc filtration and cadmium removal, developed and deployed using Databricks, generated combined annual savings of $370,000. These models not only enhanced resource utilization but also reduced waste and…
…a implemented AI agents to address various operational challenges. For example, the AI-powered IT supplier contract analysis tool reduced processing time by 800%, enabling faster decision-making and freeing up resources for more strategic in…
…an ingestion framework improved productivity, standardization and data quality, reducing development cycles by 300% and providing the agility required for faster innovation. The second phase of N…
Headline outcome
…a implemented AI agents to address various operational challenges. For example, the AI-powered IT supplier contract analysis tool reduced processing time by 800%, enabling faster decision-making and freeing up resources for more strategic in…
Industry
Manufacturing
…or a future where AI and analytics play a central role. Share this post Details Industry : Manufacturing Product : Agent Bricks , Databricks SQL , Delta Lake , Unity Catalog Ready to g…
Technology
Databricks, Agent Bricks, Databricks SQL, Delta Lake, Unity Catalog
…analytics play a central role. Share this post Details Industry : Manufacturing Product : Agent Bricks , Databricks SQL , Delta Lake , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Use case type
Predictive operations
…f the most impactful results was the optimization of key operational processes. Predictive models for zinc filtration and cadmium removal, developed and deployed using Databricks, generated combined annual savings of $370,000. These models not only enhanced resource utilization but also reduced waste and…
Business functions
Legal & Compliance
…a implemented AI agents to address various operational challenges. For example, the AI-powered IT supplier contract analysis tool reduced processing time by 800%, enabling faster decision-making and freeing up resources for more strategic in…
AI capabilities
Predictive Analytics, Agentic AI, Generative AI
…proved overall process efficiency. Automation was another major area of impact. Nexa implemented AI agents to address various operational challenges. For example, the AI-powered IT supplier contract analysis tool reduced processi…
Capture details
- Captured
- 07 Sept 2026, 06:04 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- 99ad6b05949edd27e51fcf2f3dc9184e704d1ea8f0d57e41f85bfcbee6363a8a