Fero Labs:2024工业人工智能(AI)调研报告:挖掘AI在工业领域未开发的潜力(英文版)(26页).pdf

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Fero Labs:2024工业人工智能(AI)调研报告:挖掘AI在工业领域未开发的潜力(英文版)(26页).pdf

1、2024INDUSTRIAL AI SURVEYFero LabsLeveraging theUntapped Potential ofIndustrial AIPresented Together well build a sustainable futureTable of ContentsExecutive SummaryFERO LABS INDUSTRIAL AI SURVEY 20241Navigating the Complex Terrain of Manufacturing in 2024Factories Intensify Focus on Profits&Cutting

2、 CostsA Lack of Change Management Inhibits Innovation&GrowthPlant Managers Emerge As A Technology Champion or BlockerConclusion:How Can Factories Achieve Their 2024 Targets?About Fero LabsSurvey Methodology/Respondent Demographics2471619222425Why Is Sustainability Still Being Deprioritized?Early AI

3、Technology Adopters Reap The Benefits1012Leveraging The UntappedPotential of Industrial AIFactories Using AI Technology Are 3X More Confidentof Meeting 2024 Targets Than Those WithoutIn the ever-evolving world of manufacturing,2024 presents alandscape fraught with challenges and opportunities shaped

4、 by myriad global and economic factors.From supply chain disruptionsto technological advancements,manufacturers are facing amultitude of influences that require change management,innovation,and strategic agility to navigate effectively.Despite AI technologys reported benefits and proven successes,on

5、ly18%of the industrial sector are currently using AI or ML software to getthe most out of their productivity and production,and only 11%areusing a digital twin solution to adapt,innovate,and solve problemsfaster.Why is industrial AI adoption slower than expected?EXECUTIVE SUMMARY2“The industrial sec

6、tor is undergoing a seismic shift,from the transition to renewable energy to the circularity inraw material utilization,all while grappling with increasinglabor shortages.Many of the fundamental assumptions that droveefficiency in manufacturing will no longer hold.In this eraof transformation,AI eme

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