WEBINAR

Unlocking AI Potential: The Role of a Modern Data Ecosystem

Industrial AI isn’t magic—it’s only as strong as the data behind it. Join this webinar to learn how real-time process data and a healthy data ecosystem unlock predictive insights, prevent failures, and power smarter manufacturing decisions.

March 18, 2026

5:00 PM UTC

1 hour

Sponsored by

March 18, 2026

11:00 AM ET / 10:00 AM CT / 8:00 AM PT / 4:00 PM GMT

Duration: 1 hour

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Summary

Smart manufacturers are realizing that industrial AI is only as powerful as the data you provide it. Real-time industrial process data is at the core of effective predictive modeling, and the quality of this data is essential to achieving reliable outcomes. A well-planned data architecture enables intelligent technology to anticipate production failures and provide meaningful recommendations for improved efficiency. This webinar explores what it truly means to build an AI-ready data ecosystem by uncovering common pitfalls and providing solutions you can use to accelerate 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 you transform your process data into a strategic asset that powers smarter operations.

Speakers

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

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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