The modern workforce is shaping up to be very different from the traditional understanding of a workforce and how it should function. The COVID-19 pandemic proved to be an inflection point for the reconfiguration of the modern manufacturing frontline paradigm. Disrupted supply chains, lack of external support on the shop floor, and the absence of specialized and task-oriented workers all changed the core perception of how a typical manufacturing workforce should operate. The pandemic made it clear that manufacturers need to empower their workforces and use the best possible digital means to do so.

Unplanned downtime is the single biggest enemy of productivity.

Forbes estimates the cost of downtime alone is over $50 billion each year for industrial manufacturers. This is more than substantial and can often be the difference between a company making or losing money. The article points toward predictive maintenance gaining prominence to significantly reduce downtime, to learn faster and predict failures long before stoppages can ever happen.

Understanding the role, a connected enterprise and an empowered workforce plays in laying the foundation for a successful AI implementation.

A common misconception when it comes to Digital Transformation and Industry 4.0 is that with the rapid adoption of the technology gamut associated with them, the manufacturing operation would, as a step change, transform into a fully automated endeavor, orchestrated almost entirely by autonomous AI applications, self-optimizing and self-driven.