CMMSradio

Dangerous Data Assumptions in Maintenance AI with MotorDoc on CMMSradio

Share this episode
Anyone with this link can open it.
Share Link
Start at 0:00

This episode isn’t summarized yet

Create a free account and summarize it. In a few minutes you’ll have the key takeaways and a section-by-section summary.

Show notes

A rant you do not want to miss! Real deal pro ahead!!Dr. Howard Penrose critiques the overuse of simulated data in engineering and maintenance fields, emphasizing the value of real-world experience and data in both research and AI applications.Key Takeaways:Real data is being undervalued in favor of simulated or AI-generated data.AI systems in maintenance are often oversold and underperform.Academia is disconnected from field-based realities.Ethical and safety concerns arise from unchecked AI use.https://motordoc.com/

Couldn't load the audio. A blocker may be stopping the show's tracking links. Open the file