Syensqo - Manufacturing Digital Transformation Journey: Unleash the Power of Data and AI/Analytics
Dr. Sami Bahroun, Head of Industrial Data Analytics & Advanced Automation, Syensqo
Dr. Sami Bahroun, Head of Industrial Data Analytics & Advanced Automation, Syensqo
Manish Yashvant, Global Strategic Alliances, Industrial Manufacturing, Amazon Web Services
Jeff Skarda, Operations Consultant, Kimberly-Clark
Kimberly-Clark, a large, multi-national manufacturing organization, developed a Seeq deployment strategy focused on fostering community & collaboration, training end-users, and capturing the value of Seeq to justify licensing cost to senior leadership. This strategy has led to a strong Seeq user base and use cases that have delivered Safety, Quality, Delivery, and Cost improvements with demonstrable ROI.
Speaker: Wilfred Mascarenhas, Sr. Director for Data and Analytics – Eli Lilly & Company
Speaker: Jesse Karkheck, Remote Process Monitoring SME, Guardian Glass
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Speaker: Brent Railey, Manager of Data Science, Chevron Phillips Chemical
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Lisa Graham, CEO, Seeq
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CEO Keynote – Conneqt 2024
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Syensqo – Manufacturing Digital Transformation Journey: Unleash the Power of Data and AI/Analytics
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Product Keynote – Conneqt 2024
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Closing Keynote
Fabian Schlieck, Performance Engineer, Uniper
The German power industry is experiencing significant changes and challenges, with a focus on ensuring a reliable energy supply. Uniper is leveraging data science, particularly using Seeq, to enhance the reliability and efficiency of its operations. Seeq enables rapid, in-depth analysis of operational data to identify and address incidents like boiler tube leaks, compare actual performance against predictions, and make adjustments as necessary. It also aids in analyzing the performance impact of hardware changes and utilizes weather forecasts to predict future asset performance. This approach improves operational decision-making and supports Uniper’s digital transformation and the strategic management of its power generation assets.
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Powering Uniper’s Digital Transformation with Data Analytics
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Bat Curtailment Compliance Reporting at Scale
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Decarbonizing Cement by Advanced Analytics in Holcim’s Plant of Tomorrow Program
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Optimizing for Excellence: Balancing Cost, Quality, and Sustainability
Fariha Imami, Manufacturing Intelligence Project Leader, PQ
At PQ, no sites are alike. Differences in data maturity and resourcing add extra layers of complexity. We didn’t find one recipe that fits all. Instead, we found a new mindset of agility and continuous improvement, enabling us to leverage existing resources and apply our learnings to deliver better results at each iteration.
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Plan, Learn, Adapt – Rollout Strategies for a Diverse Organization
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Distillation Tower Fouling Prediction: Anomaly Detection & Causality Analysis Using Process Health Solution (PHS)
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Monitoring Flows for Wastewater Management
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Navigating a Grassroots Deployment Strategy
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Empowering Remote Monitoring Teams