1、S P O N S O R E D C O N T E N T|W H I T E P A P E RThe state of edge AI in manufacturing:moving to a new paradigm White paperSPONSORED BYFrom improving employee productivity and safety to reducing operational costs and spotting product defects,manufacturers see no shortage of use cases for edge AI.2

2、CIO|Intel|The state of edge AI in manufacturing:moving to a new paradigmTODAYS MANUFACTURERS face pressure from a convergence of forces,many are largely beyond their control.Skilled worker shortages and rising labor costs are driving them to improve productivity with fewer resources.Higher prices fo

3、r energy and materials constrain margins,and tariffs and geopolitical disruptions cause many to make major changes in their supply chains or restrict sales.A recent Foundry MarketPulse survey of 500 senior enterprise decision-makers including 170 in manufacturing found overwhelming agreement that ed

4、ge artificial intelligence(AI)technology has the potential to help overcome many of these challenges,and many manufacturers have successfully implemented solutions for specific use cases.But questions about the technologys complexity and cost are holding some back from broader deployments.To reap th

5、e full benefits of edge AI,the survey suggests,manufacturers need to gain a better understanding of the technology and develop an implementation strategy that fits their needs and budget.What manufacturers want from edge AI:saving money and growing revenueAmong the many challenges driving manufactur

6、ers to adopt AI solutions,an acute labor shortage tops the list.Millions of baby boomgeneration workers who have spent their lives in the industry are retiring,with fewer younger workers entering the field to take their place.Even with modern advances in robotics,many plants remain shorthanded.Secur