SME Survey Results Show Parental Misconceptions of Manufacturing Careers
The results show that parents do not necessarily have the most up-to-date information or perspective on manufacturing and the opportunities available.
Quadrant CEO Says Automation Creates More Jobs Than It Replaces by 2:1
Despite alarmist predictions to the contrary, the development of newer and better ways to do things will lead to broader employment, better jobs and increased prosperity, per Quadrant Information Services CEO Michael Macauley.
Robots: A New Kind of Manufacturing Workforce
Improving the effectiveness of small and medium manufacturers could help stimulate the economy and drive job creation. Adding robotic employees to the manufacturing mix might just make manufacturers in the United States more competitive with their counterparts in Asia.
Republican-Leaning Cities Are At Greater Risk Of Job Automation
By Jed Kolko for Five Thirty Eight: More and more work activities and even entire jobs are at risk of beingautomated by algorithms, computers and robots, raising concerns that more and more humans will be put out of work. The fear of automation is widespread — President Obama cited it as the No. 1 reason Americans feel anxious about the economy in his State of the Union address last month — but its effects are not equally distributed, creating challenges for workers and policymakers. An analysis of where jobs are most likely to face automation shows that areas that voted Republican in the last presidential election are more at risk, suggesting that automation could become a partisan issue.
So-called “routine” jobs — those that “can be accomplished by following explicit rules” — are most at risk of automation. These include both “manual” routine occupations, such as metalworkers and truck drivers, and “cognitive” routine occupations, such as cashiers and customer service reps.1 Whereas many routine jobs tend to be middle-wage, non-routine jobs include both higher-wage managerial and professional occupations and lower-wage service jobs. Cont'd...
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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.
