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Democratizing Production-Ready AI Solutions For Frontline Steel

Posted on 
May 18, 2021

Democratizing Production-Ready Edge-Based AI Solutions for Frontline Steel SMEs

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This co-presentation will showcase several edge-based AI smart asset health and process control optimization use cases that span across rolling mill and reheating furnaces.

Key performance indicators achieved include reducing overall unplanned maintenance hours and a real-time reduction in total fuel/gas consumption. Gerdau will also touch on value-added implementation ownership lessons learned from deployed AI/ML applications.

There will be further takeaways on how to accurately calculate the true total cost of ownership for steel producers that seek to democratize AI/ML solutions internally and empower their frontline workers to become citizen data scientists without having to write complex code or acquire a Ph.D. in data science.

AJ Alexander, SORBOTICS, and Leonardo Rosa Lemos, Gerdau Long Steel North America

Webinar Agenda

  • Introduction
  • Data Acquisition
  • Anomaly Detection
  • Virtual Sensor
  • Process Control Optimization
  • Value-added and Lessons Learned
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