| | MapR and RapidMiner: The Right Solution for Predicting Machine Failure | | | | | | Hi David,
Predictive maintenance is a technique used in various industries to reduce machine downtime by predicting its failure. It is fair to say that most enterprises consider this a difficult technique to deploy in production. The right implementation uses a combination of the following steps: - Real-time data ingestion from IoT devices
- Extract-transform-load (ETL) of this data and writing it into a data store
- Developing machine learning (ML) algorithms to extract insights into failure events and training these algorithms using the stored data
- Deploying the final algorithm(s) in production onto the target environment
- Monitoring the performance of the system and tuning the implementation as physical conditions change over time
MapR has partnered with RapidMiner to bring a holistic solution to help manufacturers predict machine failure accurately. The solution offers unique flexibility in design, multiple deployment options for convenient transition to production, and an easy-to-use UI. Join us on Wednesday, May 8th to view a demonstration of our joint solution.
Regards,
MapR Team
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