WEBINAR

Unlocking AI’s Potential: The Role of a Modern Data Ecosystem

Smart manufacturers know industrial AI is only as effective as the data behind it. Discover how to build an AI-ready data ecosystem, avoid common pitfalls, and turn real-time process data into predictive insights that drive smarter, more reliable operations.
August 12, 2026
3:00 PM UTC
1 hour

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Summary

Smart manufacturers are realizing that industrial AI is only as powerful as the data provided to it. Real-time process data sits squarely at the center of effective AI-assisted processes such as predictive modeling, and the quality of this data is essential to achieving reliable outcomes. Well-constructed data architectures enable intelligent technology to anticipate production failures and provide meaningful recommendations for improved efficiency.

This Smart Industry webinar will explore how to build an AI-ready data ecosystem by uncovering common pitfalls and will provide solutions to speed your plant’s digital maturity.

Join us as we explore:

  • What a Healthy Data Ecosystem Looks Like
  • Where Most Manufacturers Fall Short
  • Real-World Example of Predictive Maintenance
  • What’s Next: Preparing for the Future of Industrial AI


Whether you're just beginning your digital transformation journey or looking to strengthen your existing data ecosystem, this webinar will provide insights and use cases to help transform your process data into a strategic asset that powers smarter operations.

 

Speakers

Scott Kahre

Scott Kahre

Sales Engineer

dataPARC

Scott Kahre is a chemical engineer with over 20 years of experience in process optimization, control, and data analysis. Scott started his career in the pulp and paper industry at Boise Paper, where he worked in process modeling and model predictive control technology. Scott later joined the Amalgamated Sugar Company as a Process Engineer and became a Technical Assistant and Production Coordinator where he used dataPARC tools for nearly nine years. Scott is now a Sales Engineer for dataPARC.

 

Molly Culwell

Molly Culwell

Applications Engineer

dataPARC

Molly Culwell is a chemical engineer with extensive quality engineering experience. She has a Six Sigma focus and is a Lean Six Sigma Green Belt. Molly has nearly ten years of experience using industrial analytics tools as well as hands-on experience driving quality improvements in a variety of process industries. Molly is currently the Applications Engineer for dataPARC.

 

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