Being Future Ready! Understanding what it Really Means for Manufacturers.

Aug 3, 2022 12:25:00 PM . Julia Walsh

Manufacturers irrespective of their industry segment and geographical spread are facing challenges in all areas of their business, the sheer uncertainty which exists in the market due to global trade wars, international conflicts, heightened regulations, local and regional restrictions, and changing tariffs are all contributors to this unprecedented level of chaos.

There are, however, industry-specific, people and technology-related challenges as well, there is a clear and growing knowledge/skill gap between the existing old-school workforce and the new more digitally adept one. Understanding what technologies to implement to further the company’s vision and doing so with minimum disruption is another challenge. Competition is tighter than ever, digitization is being pursued by each and every manufacturer, which means improvement in efficiency and profitability are critically important. Even in relatively stable batch-type discreet production facilities, customer demands for personalization and customization are leading to a larger than ever product mix.

How to Optimize Your Maintenance System

Jul 13, 2022 8:21:00 AM . Julia Walsh

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.

Are you ready for an AI-enabled Transformation?

Jul 7, 2022 7:22:21 AM . Julia Walsh

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.