当前位置:首页 >英文主页 >中英对照 > 报告详情

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

上传人: Kell****reet 编号:188239 2024-12-31 26页 6.35MB

下载:

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

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
根据报告的内容,本文主要讨论了2024年工业领域面临的挑战和机遇。文章指出,尽管人工智能(AI)技术在工业领域有显著的益处,但只有18%的工厂正在使用AI或ML软件来提高生产力和生产效率,只有11%的工厂使用数字孪生解决方案来加快实验、解决问题和创新的速度。文章还提到,工厂使用AI和数字孪生技术比没有使用这些技术的工厂更有信心实现2024年的目标。此外,文章还指出,工厂经理在决定是否采用新技术方面起着关键作用,他们可以成为AI技术的推动者,也可以成为阻碍技术采用的障碍。总的来说,文章强调了工业AI技术在提高生产效率、降低成本和实现可持续发展目标方面的重要性。
工业AI如何帮助工厂实现2024年目标? 工厂如何利用数字孪生技术提高生产效率? 为什么工业界对可持续性仍然不够重视?
客服
商务合作
小程序
服务号
折叠