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Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial pain-points for customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis and insight discovery. Although in a dystopian vision of AI applications, intelligent machines may take away jobs of humans and cause social and ethical issues, industry in general holds a more positive view of AI and sees this transformation of economy unstoppable and expects huge business oppo

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  • Artificial intelligence in industry (en)
  • 산업 인공지능 (ko)
  • 工业人工智能 (zh)
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  • 산업 인공지능(Industrial Artificial Intelligence, IAI)은 산업 설비로부터 발생하는 데이터를 기반으로 인공지능 기술을 산업 환경의 분석, 공정 관리, 설비 보전 등의 목적으로 활용하는 것을 의미한다. 사물인터넷(Internet of Things, IoT) 시장이 20년 전 대비 약 1만 2,000배 이상 성장함에 따라, 산업 설비에서 수집된 산업 데이터를 분석하여 전례 없는 가치를 창출하는 산업 인공지능의 중요성이 크게 대두되고 있다. 산업 인공지능은 일반 소비자용 인공지능과는 달리 그 분석 및 해석의 결과가 산업 현장의 의사결정에 미치는 파급력이 크기 때문에 보다 높은 정확성과 신뢰성이 요구된다. (ko)
  • Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial pain-points for customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis and insight discovery. Although in a dystopian vision of AI applications, intelligent machines may take away jobs of humans and cause social and ethical issues, industry in general holds a more positive view of AI and sees this transformation of economy unstoppable and expects huge business oppo (en)
  • 工业人工智能(英語:Industrial artificial intelligence, IAI)也称作工业AI,是指人工智能在工业中的应用。不同于人工智慧,工业AI是一门严谨的系统科学,它专注于开发,验证和部署各种不同的机器学习算法以实现具备可持续性能的工业应用。工业人工智能作为一种系统化的方法和规则为工业应用提供解决方案,工业人工智能并且也是将学术界研究AI的成果与工业应用连接起来的桥梁。AI驱动的自动化尚未能对生产力的增长产生可量化的重大影响。现今行业,除了面临市场需求和竞争的新挑战,它们尚需要一个被称为工业4.0的激进变革,AI与工业物联网(IIoT),大数据分析,云计算和信息物理系统的集成将使工业以灵活,高效和节能的方式运作。工业人工智慧更加关注技术的运用来解决工业上的痛点问题,从而创造客户价值,提高生产力和获得洞察力。。虽然人工智能的应用在反乌托邦願景中,智能的设备可能会夺走人们的工作并导致社会和道德问题,但整体产业对人工智慧仍持有积极态度,并认为这种经济转型势不可挡,及期待过程中产生巨大的商机。 美國東部時間2019年2月11日,美国总统於签署一项行政命令「美国AI倡议」(英語:American AI Initiative),这是一项指导美国境内人工智慧开发的最高战略,期望刺激美国对人工智慧的投资,并加速美国在AI领域的领导地位。 (zh)
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  • Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial pain-points for customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis and insight discovery. Although in a dystopian vision of AI applications, intelligent machines may take away jobs of humans and cause social and ethical issues, industry in general holds a more positive view of AI and sees this transformation of economy unstoppable and expects huge business opportunities in this process. (en)
  • 산업 인공지능(Industrial Artificial Intelligence, IAI)은 산업 설비로부터 발생하는 데이터를 기반으로 인공지능 기술을 산업 환경의 분석, 공정 관리, 설비 보전 등의 목적으로 활용하는 것을 의미한다. 사물인터넷(Internet of Things, IoT) 시장이 20년 전 대비 약 1만 2,000배 이상 성장함에 따라, 산업 설비에서 수집된 산업 데이터를 분석하여 전례 없는 가치를 창출하는 산업 인공지능의 중요성이 크게 대두되고 있다. 산업 인공지능은 일반 소비자용 인공지능과는 달리 그 분석 및 해석의 결과가 산업 현장의 의사결정에 미치는 파급력이 크기 때문에 보다 높은 정확성과 신뢰성이 요구된다. (ko)
  • 工业人工智能(英語:Industrial artificial intelligence, IAI)也称作工业AI,是指人工智能在工业中的应用。不同于人工智慧,工业AI是一门严谨的系统科学,它专注于开发,验证和部署各种不同的机器学习算法以实现具备可持续性能的工业应用。工业人工智能作为一种系统化的方法和规则为工业应用提供解决方案,工业人工智能并且也是将学术界研究AI的成果与工业应用连接起来的桥梁。AI驱动的自动化尚未能对生产力的增长产生可量化的重大影响。现今行业,除了面临市场需求和竞争的新挑战,它们尚需要一个被称为工业4.0的激进变革,AI与工业物联网(IIoT),大数据分析,云计算和信息物理系统的集成将使工业以灵活,高效和节能的方式运作。工业人工智慧更加关注技术的运用来解决工业上的痛点问题,从而创造客户价值,提高生产力和获得洞察力。。虽然人工智能的应用在反乌托邦願景中,智能的设备可能会夺走人们的工作并导致社会和道德问题,但整体产业对人工智慧仍持有积极态度,并认为这种经济转型势不可挡,及期待过程中产生巨大的商机。 "人工智能"一詞於1940年提出的,通过智能分析和建模提高生产力和获得洞察力。人工智能和一直是人工智能广泛研究的一部分,应用于产品设计、生产计划、分发和现场服务的整个产品生命周期中。电子制造系统和电子工厂并没有使用“AI”这个术语,而是扩大了工程系统的建模,使得能够在智能制造生态系统中实现元素的完全整合。云计算服务平台广泛运用人工智能技术。(Cyber manufacturing)也运用预测分析和网络-实体建模解决产品和机器健康之间的鸿沟(gap),从而优化生产。工业人工智能最近被广泛提及,有以下几种原因:更经济且性能多的传感器和数据采集的自动化过程;更强大的计算能力,以较低的成本、更快的速度执行复杂的工作任务;更快速地连接基础架构和更易于访问的云服务平台,外包数据管理和计算能力。然而,如果工业界中的问题得到妥善处理,这项技术也不会产生任何商业价值。工业人工智能或许有助于产品与服务创新、生产过程改进以及获取洞察力这三方面的应用。 美國東部時間2019年2月11日,美国总统於签署一项行政命令「美国AI倡议」(英語:American AI Initiative),这是一项指导美国境内人工智慧开发的最高战略,期望刺激美国对人工智慧的投资,并加速美国在AI领域的领导地位。 (zh)
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