Midwestern Bread Company Transforms Operations with Connected Workforce Solution
The baking team utilizes semi-automated processes and advanced equipment to produce bread and pastries. However, inefficiencies in communication and documentation hindered the company's productivity.
RealWear Launches World's First Hands-Free, Voice-Controlled Thermal Camera
Is the only device that supports MSX® technology to enable frontline industrial professionals to conduct inspections, enhance remote support sessions and avoid equipment downtime using simple voice commands
NEW STUDY: MAJORITY OF WORKERS WOULD LEAVE FRONTLINE WORK IF GIVEN THE OPPORTUNITY
New report from SafetyCulture highlights mounting pressure on frontline workers and the key
opportunities for businesses to start improving the way they operate.
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Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
