Why do manufacturers partner with a Predictive analytics company
Condition monitoring or machine performance solutions remain largely reactive in nature. What if such solutions enable your clients to prepare for machine/equipment failure before they happen. For this, you need the ability to add predictive modeling capabilities to your products for forecasting failures, defects, throughputs, etc. In addition to this, you need to augment historical machine data, environmental and process data, find the right algorithm, model it, deploy and tune it to generate predictions. However, to build such robust solution and continuously improve the accuracy of predictability, an expert help & guidance is needed.
With more than 300 implementations around Data analytics, IoT, Machine learning and AI, Saviant has been a trusted partner for industrial clients across US, UK, Canada, Germany, Australia, and Middle East. At Saviant, our industrial and machine learning consulting framework help smart machine manufacturers to build custom solutions around predictive analytics. We help them to reimagine their solutions and enable business continuity of their clients with fault-free operations.
For example, their solutions are now equipped with predictive-AI capabilities that can now -
Enable more than 90% accuracy in predicting events
though alarms and timely alerts across operations, thereby preventing downtime failures or events.
Detect anomalies & help perform root-cause analysis
using real-time & historical data to identify correlations and patterns from operations and machine data.
Predict and quantify risks associated
with production, downtime, defects, or safety with higher reliability.
Generate new revenue opportunities
through as a service model for delivering more value through data.