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  September 16, 2026 08:20 am CDTCoatings in the Era of Smart Manufacturing: Productivity and Sustainability Ahead

  Manufacturing is undergoing rapid transformation as digitalization, automation, advanced materials and application technologies continue to evolve and converge. This presentation examines those shifts through the lens of coatings, adhesives and seal…

  Manufacturing is undergoing rapid transformation as digitalization, automation, advanced materials and application technologies continue to evolve and converge. This presentation examines those shifts through the lens of coatings, adhesives and sealants, with a focus on how they affect formulation, application, performance and sustainability.

  Industry 4.0’s data-rich automation and AI capabilities are reshaping total solutions — product, process and service — by accelerating formulation workflows, improving process control and reducing variability and waste across application, cure and bonding operations.

  Industry 5.0 builds on this momentum by reinforcing sustainable chemistries, circular material strategies and adaptive automation. Together, these advances can help coatings manufacturers and formulators improve productivity, lower environmental burden and develop a new generation of tailored, high-performance, low-impact coatings, adhesives and sealant technologies.

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  September 16, 2026 03:45 pm CDTAI-Driven Coatings Innovation from Discovery to Commercialization

  From discovery to design to launch, coatings R&D is becoming increasingly data-driven. This session will walk through how AI can add value at every step of the formulation process.

  At the start of a new project, AI discovery tools help formulators se…

  From discovery to design to launch, coatings R&D is becoming increasingly data-driven. This session will walk through how AI can add value at every step of the formulation process.

  At the start of a new project, AI discovery tools help formulators search institutional knowledge with natural language, immediately surfacing relevant past work. In the lab, AI-guided design of experiments helps plan the most efficient path through a new design space, while inverse design models suggest formulation candidates most likely to hit target properties. Beyond R&D, AI can be deployed externally, turning a manufacturer's product portfolio into a 24/7 technical sales channel for customers.

  Together, these capabilities show how AI compounds value across the full arc of innovation, from the first experiment to the final product.

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  September 16, 2026 04:20 pm CDTGenerative AI: A Hammer Looking for a Nail? Or a Powerful Tool in the Toolbox?

  Most chemists have heard the AI pitch. Few know which advanced tool to reach for and when.

  
  

  Generative AI, Machine Learning, and Statistical Modeling aren't interchangeable — they solve different problems at different stages of development. Use the wr…

  Most chemists have heard the AI pitch. Few know which advanced tool to reach for and when.

  
  

  Generative AI, Machine Learning, and Statistical Modeling aren't interchangeable — they solve different problems at different stages of development. Use the wrong one and you're led astray. Use the right one and you compress months of R&D into weeks.

  
  

  In this session, attendees will be presented with:

  • An overview of three key technologies - Generative AI, Machine Learning, and Statistical Modeling
  • A framework and concrete examples on when to use each tool
  • See how these technologies can be applied in coatings R&D on an actual use case
  • Understand the minimum technical and data requirements required to be able to run AI successfully
  • A set of ROI calculations to ensure you’re getting appropriate benefits associated with the investment

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