Predictive and prescriptive analytics help organizations get full value from their industrial assets
Reliably predict the remaining useful life of batteries and other industrial assets
Recommend actions that address degradation and optimize operations
Reduce capital accruals through accurate prediction of annual asset failures
Maximize fleet utilization
Minimize warranty risk
Our machine learning analytics solution reliably predicts capacity, degradation and failure times for a variety of industrial assets. This scalable online solution also prescribes the best actions to take to repair or replace these assets.
This white paper provides an in-depth use case that describes how our solution helps organizations maintain fleets of lithium-ion batteries. It shows how our predictive and prescriptive approach enables organizations to reduce cost, maximize asset utilization and optimize their operations.
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