Overview
The implementation of disruptive concepts like smart factories or IIoT has created a disruption in the manufacturing industry. Leading manufacturing leaders across the globe are expanding their manufacturing operations by deploying smart manufacturing technologies. But to achieve this, industrial users need to leverage the power of data and analytics for predictive analysis, reduced machine downtime, centralized storage, and remote asset monitoring.
The shop floors are flooded with machines and equipment that aren’t interconnected and not interoperable. The manufacturing sector resorts to IoT solution backed by AI and ML to not only connect the machines in same ecosystem but to understand the machine data and utilize it for numerous benefits that help with increased productivity.
Analytics for boosting productivity
Get real-time data from production and actionable machine insights to improve operation margins, address supply chain issues and maximizing the productivity.
- Increase production accuracy for meeting quality standards
- Faster deployment of the system
- Optimize inventory management with enhanced estimations
Renewed efficiency with AI and ML
With AI and ML, you can understand what your machine says and predict maintenance time. The insights help empower your workforce to optimize processes and increase efficiency.
- Identify & resolve production bottlenecks in real time
- Alert workers when critical alarms occur that may lead to production losses
- Expose changes in part production allowing operators to self-correct problems
