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AI in Chemical Engineering with Dr. Sebastian Werner

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Manage episode 349579615 series 3425854
Content provided by Deep. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Deep or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Why is trust so critical in the integration of AI into existing chemical engineering technology? In this episode, we explore the role of AI and machine learning in chemical engineering with Dr. Sebastian Werner. Dr. Werner has a doctorate degree in chemical engineering and currently works as an AI Evangelist at Dataiku, a data science and machine learning platform that designs, deploys, and manages AI applications.

Dr. Werner explains how AI-enabled predictive maintenance, regression, and time series forecasting improves efficiency of chemical engineering operations. He and Deep touch on the challenges of bridging the divide between operational and informational technology, and why this has slowed the integration of AI into manufacturing. Finally, Dr. Werner speculates about the future role of AI in manufacturing, as well as how the global push for sustainability will influence the development of new technology.
Learn more about Dr. Werner here: https://www.linkedin.com/in/sebastianwerner/?originalSubdomain=de

  continue reading

53 episodes

Artwork
iconShare
 
Manage episode 349579615 series 3425854
Content provided by Deep. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Deep or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Why is trust so critical in the integration of AI into existing chemical engineering technology? In this episode, we explore the role of AI and machine learning in chemical engineering with Dr. Sebastian Werner. Dr. Werner has a doctorate degree in chemical engineering and currently works as an AI Evangelist at Dataiku, a data science and machine learning platform that designs, deploys, and manages AI applications.

Dr. Werner explains how AI-enabled predictive maintenance, regression, and time series forecasting improves efficiency of chemical engineering operations. He and Deep touch on the challenges of bridging the divide between operational and informational technology, and why this has slowed the integration of AI into manufacturing. Finally, Dr. Werner speculates about the future role of AI in manufacturing, as well as how the global push for sustainability will influence the development of new technology.
Learn more about Dr. Werner here: https://www.linkedin.com/in/sebastianwerner/?originalSubdomain=de

  continue reading

53 episodes

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