Dangerous Data Assumptions in Maintenance AI with MotorDoc on CMMSradio

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 Takaways:

• 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/