Transition from Preventive to Predictive Maintenance Using Time Series Data with MAJiK Visual Factory and InfluxDB

MAJiK Systems has developed software that utilizes data from manufacturing machines to provide AI-driven insights for improving factory operations. The company's Visual Factory tools use machine data to power predictive analytics, but they faced challenges with securely transferring data from industrial computers (PLCs) to the cloud-based predictive modeling solutions. MAJiK turned to InfluxDB to manage the large volume of time series data required for these advanced analytics models. With InfluxDB and its edge-to-cloud gateway solution, MAJiK can now securely transfer data, manage observability, and train machine learning models in the cloud. The integration has enabled customers to see significant reductions in downtime and waste, with an average of 35-45% reduction in downtime and 7-10% reduction in waste.

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