Leverage AI in Manufacturing Predictive Maintenance

Predictive maintenance is critical for any business with high-capital assets, especially the manufacturing and transportation sectors.

How can you harness the power of AI to control rising equipment maintenance costs by predicting impending failures that human eyes could never detect? 

With a machine learning-based approach to predictive maintenance, downtime and repairs are directly tied to likely failure, minimising cost (e.g. less labor time, less chance of unexpected failure), and maximising asset life.  By contrast, traditional maintenance techniques (run-to-failure, preventative, or some combination of the two) inevitably mean unexpected or disruptive repairs, leading to longer overall downtime.

All attendees receive instructions to build their own project using Synapse data based on the sample project in advance. 

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