This podcast was originally produced and recorded by The IT/OT Insider. It features key insights from TwinThread President and Co-founder Andrew Waycott's recent appearance. With the Insider team's permission, we've included links to the original article and recording.

Below is a brief summary of the topics covered in the conversation.


Content Summary

Episode #3 of The IT/OT Insider podcast, Industrial DataOps, explores the industry's current state, the role of Industrial AI in daily operations, how closed-loop automation reshapes the ability to scale, and the key factors that drive a successful AI project.

Here are some key takeaways from the conversation:

  • Why TwinThread Was Founded - Make Industrial AI accessible to non-technical engineers.
  • TwinThread's Place in the Industrial Data Platform Capability Model - Covers how TwinThread fits into various aspects of the framework, such as data connectivity, storage, and cleaning & quality.
  • Hills Pet Food Case Study - AI-powered quality optimization across 18 global production lines led to waste reduction, maximum yield, and improved cost efficiency.
  • Closed-Loop Industrial AI - Rather than requiring constant micro-adjustments in production, closed-loop Industrial AI allows for controlled, intelligent changes at regular intervals. TwinThread frees operators to innovate and focus on high-value tasks by automating necessary changes. 
  • Hallmarks of Successful Industrial AI Projects - Overcoming obstacles like organizational silos, lack of executive buy-in, and immature automation are critical for success. 
  • Challenges to Standardization - The industrial world needs a unified standard for cloud-based data storage.

Podcast Video 

 

Podcast Article

Substack link - https://itotinsider.substack.com/p/industrial-dataops-3-with-twinthread

Other Links

The IT/OT Insider - https://itotinsider.com/

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