glenn moffett

SQM set out to increase production efficiency by improving how raw materials are converted into finished product. But, it faced a classic data engineering challenge: critical operational data was trapped in silos (plant historians, lab systems, simulation tools) with no scalable way to unify it with enterprise data in Databricks. Operating decisions relied on operator experience rather than predictive models, leading to excess raw material use and inconsistent output. Instead of building custom ETL pipelines to move data across systems, SQM leveraged OpenSharing to create a governed, real-time data backbone. AVEVA’s cloud-based industrial intelligence platform, CONNECT, seamlessly shared data with Databricks on Azure using zero-copy and no data movement. This enabled operational data to be unified and refined into consistent minute-level views, and used to develop machine learning and optimization models.

Industrial organizations are unlocking new possibilities through the partnership between AVEVA and Databricks. The seamless, no-code, zero-copy solution—powered by Delta Sharing and CONNECT—enables companies to combine IT and OT data effortlessly. By bridging the gap between operational and enterprise data, businesses can harness the power of AI, data science, and business intelligence at an unprecedented scale to drive innovation. In this session, explore real-world applications of this integration, including how industry leaders are using CONNECT and Databricks to boost efficiency, reduce costs, and advance sustainability—all without fragmented point solutions. You’ll also see a live demo of the integration, showcasing how secure, scalable access to trusted industrial data is enabling new levels of industrial intelligence across sectors like mining, manufacturing, power, and oil and gas.