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德勤(Deloitte):2025边缘人工智能的未来研究报告:变革型影响(中译版)(12页).pdf

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1、Heading Open Sans Light across three lines of textReportsubtitle,date or author second lineThe future of Edge AI The transformative impact of Edge AI across various systems and sectors is emphasized through the synergy between localized data processing and advanced AI model deployment for real-time

2、decisioning and enhanced privacyIntroductionArtificial intelligence(AI)is transforming the world in unprecedented ways and redefining solutions across myriad sectors,from health care to entertainment,finance to manufacturing,and beyond.Different forms of AI enable this transformation,each with disti

3、nct characteristics and capabilities to provide specific solutions.Edge AI refers to where,what,and how AI computations are conducted,while Generative AI(GenAI)refers to what those computations accomplish.Edge AI enables organizations to deploy GenAI models at the source of data generation for local

4、 processing and real-time decision-making.GenAI,coupled with Edge AI,will unlock new value for businesses and consumers.For example,a smart speaker can use Edge AI to understand and respond to natural language commands while keeping the voice data secure and private.GenAI can enable the speaker to g

5、enerate personalized and engaging conversations,music,and stories based on the users preferences and feedback.GenAI and Edge AI are not just computing technologies in a data farm.They are powerful technologies that can create new services and applications that can enhance the value and experience of

6、 the consumers.Edge AI empowers organizations to access massive data sets and utilize AI to gain additional insights and drive new business models.The edge computing market is attracting various players,including public cloud providers,hardware and chip manufacturers,industrial goods companies,conte

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本文主要讨论了边缘人工智能(Edge AI)的未来发展。Edge AI通过将人工智能计算任务从远程服务器转移到设备本身,提高了AI效率,并有助于解决隐私问题。文章指出,到2029年,60%的边缘计算部署将采用生成式AI,显示出生成式AI技术的快速和广泛采用。Edge AI市场预计到2032年将增长到2698.2亿美元,年复合增长率为33.3%。文章还强调了硬件供应商、独立软件供应商(ISV)和云服务提供商在Edge AI发展中的关键作用。Edge AI的采用需要解决互操作性和标准化问题,以及云服务与Edge AI的整合。Edge AI的未来发展需要生态系统参与者之间的协作和创新。
边缘AI如何改变未来? 边缘计算与生成式AI如何协同工作? 边缘AI在隐私保护方面有哪些优势?
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