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Tim Licquia

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Lead Data & ML Engineer Dow Inc.

Tim Licquia is the Lead Data & ML Engineer in the Enterprise Data & Analytics organization at Dow. He defines strategy and helps drive modern development practices for both DataOps and MLOps in Dow's lakehouse platform, focusing on accuracy, reliability, maintainability, and speed-to-value of data solutions. He has worked as a professional data scientist in various functional areas, using AI/ML and advanced analytics to capture dozens of value opportunities across Dow's business units. He also has led several internal communities and strategic committees focused on data and AI. Tim earned his Ph.D. in Astrophysics from the University of Pittsburgh where he used ML and advanced statistical methods to make new discoveries in galaxy science.

Bio from: Data + AI Summit 2025

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Manufacturing Cleaner: How Data Intelligence Cuts Carbon, Not Profits

Join industry leaders from Dow and Michelin as they reveal how data intelligence is revolutionizing sustainable manufacturing without compromising profitability. Dow demonstrates how their implementation of Databricks' Data Intelligence Platform has transformed their ability to track and reduce carbon footprints while driving operational efficiencies, resulting in significant cost savings through optimized maintenance and reduced downtime. Michelin follows with their ambitious strategy to achieve 3% energy consumption reduction by 2026, leveraging Databricks to turn this environmental challenge into operational excellence. Together, these manufacturing giants showcase how modern data architecture and AI are creating a new paradigm where sustainability and profitability go hand-in-hand.