How Manufacturers are Updating their Data Collection Practices for the Next Phase of Industry 4.0 Implementation
The term “Industry 4.0” refers to manufacturing practices that incorporate advanced data collection, machine learning, AI, and robotic process automation (RPA). These technologies work together to create a manufacturing framework that delivers consistently scalable process improvements.
While some manufacturing organizations are on the cutting-edge of Industry 4.0, many others are still measuring the results of pilot programs.
So what's holding organizations back from completing the initial stages of their smart manufacturing implementations?
This report explores these challenges along with lessons learned as organizations progress towards Industry 4.0 maturity, including:
- How to adapt to these new business concepts
- How data capture can propel transformation into Industry 4.0
- Tools that enable manufacturers to maximize innovation and growth
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