Kimberly Clark - Embracing AI Assistants & Add-Ons to Scale Waste Analysis

Jeff Skarda, Digital Solutions Sr. Consultant, Kimberly-Clark

Kimberly-Clark used the Seeq platform entirely rebuild an entire software application used to track waste production during startup that had become obsolete. Leveraging Seeq’s AI Assistant and Seeq’s extensible platform, a new application was developed in weeks that was more advanced, performant, & user friendly than the incumbent.

Optimizing for Excellence: Balancing Cost, Quality, and Sustainability

Brooke Hill, Data Science Engineer, Pratt Industries

Derek Valentin, Data Science Engineer, Pratt Industries

Pratt Industries, the world’s largest, privately-held 100% recycled paper company, operates six of the most modern and cost-effective paper mills in the country. In the competitive landscape of paper manufacturing, minimizing costs while maintaining product integrity is imperative for maximizing profits and sustainability. Process additives that are introduced for product strength are costly, yet necessary. Over-consumption can lead to unnecessary expenditures thus conscious optimization efforts are vital in reducing costs. High variability in the process means additive requirements can fluctuate, even while producing the same product during different runs. This leads to less uniform process control, making optimization a challenge.

Best Practices for a Sustainable Seeq Roll Out

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.

Powering Uniper's Digital Transformation with Data Analytics

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.

Conneqt 2024 – Metals and Materials / Power

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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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    17:44

    Optimizing for Excellence: Balancing Cost, Quality, and Sustainability

Amazon Web Services - Simplifying Digital Transformation in Manufacturing with AWS

Manish Yashvant, Global Strategic Alliances, Industrial Manufacturing, Amazon Web Services

 

Conneqt 2023 – Workforce Empowerment

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    Amazon Web Services – Simplifying Digital Transformation in Manufacturing with AWS

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    Seeq Deployment at Scale – Cargill

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    Best Practices for a Sustainable Seeq Roll Out

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    Guardian Industries – Enterprise Transformation in a Volatile Market