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The operational butterfly effect: How IoT data + AI help deliver on the promise of 4IR

机译:运营蝴蝶效应:物联网数据+人工智能如何帮助实现4IR的承诺

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The challenges in industrial settings have remained the same for the last 50 years. Operations leaders are being asked to deliver more across KPIs—such as throughput, costs, efficiency, quality, and sustainability—and asked to deliver incremental improvement every year.The Fourth Industrial Revolution (4IR) has brought much promise: more sensors, more connectivity, more data, better controls, more tools and methods to make sense of the data, and a greater understanding of consequences. But for all its promise, results have been stubbornly slow. Assets are increasingly complex, inter-dependencies are difficult to understand and real-time externalities are impacting these systems--often with unforeseen consequences.The confluence of AI and advanced analytics, however, can get business leaders the transformational results they desire. These technologies can break through data silos and analyze your operations holistically to provide deeper insights that humans and advanced controls can act on. And it can all happen in real-time. AI and advanced Analytics can help you better visualize the butterfly effect, understand how decisions about maintenance of one asset will impact another, and help business leaders to obtain the agility their businesses so desperately need.
机译:在过去的50年中,工业环境中的挑战一直保持不变。要求运营领导者提供跨KPI的更多信息(例如吞吐量,成本,效率,质量和可持续性),并要求每年提供增量改进。第四次工业革命(4IR)带来了巨大的希望:更多的传感器,更多的连接性,更多的数据,更好的控件,更多的工具和方法来理解数据,并更好地理解后果。但是,尽管有它的所有承诺,但结果却一直很缓慢。资产变得越来越复杂,相互依存关系很难理解,实时外部性正在影响这些系统-通常会产生无法预料的后果。然而,人工智能和高级分析技术的融合可以为业务领导者带来他们想要的转型结果。这些技术可以突破数据孤岛,并从整体上分析您的操作,以提供人员和高级控件可以采取的更深入的见解。而且这一切都可以实时发生。人工智能和高级分析可以帮助您更好地可视化蝴蝶效应,了解维护一项资产的决策将如何影响另一项资产,并帮助业务领导者获得迫切需要的业务敏捷性。

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