sfontana - Vita Systems, a venture by GE, has adopted NVIDIA DGX Systems to enhance their robotic inspection and automated defect recognition services in industries like oil and gas, transportation, and energy. Alex Tepper, the founder, highlights the significant annual expenditure of oil and gas companies on maintenance and inspection, suggesting that this integration could lead to more efficient and cost-effective solutions in these sectors.

brandondyer - In my own experience working in industrial maintenance, I've seen firsthand how AI and machine learning can revolutionize inspection and maintenance routines. We used similar technology for predictive maintenance, which involved a lot of anomaly detection.

In our case, we were monitoring equipment like pumps and compressors. The idea was to catch any unusual patterns before they led to breakdowns. We used machine learning algorithms to analyze vibration, temperature, and sound data. A vital part of this was establishing what 'normal' operation looked like for each piece of equipment and then training the system to alert us to anything that deviated from this norm.

This sort of advanced anomaly detection is becoming increasingly vital across many industries. For anyone looking to understand how these systems work, I found https://thingsboard.io/docs/trendz/anomaly/anomaly-detection-overview/ helpful.

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