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

机译:操作蝴蝶效果:IoT数据如何+ AI帮助提供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:过去50年来,工业环境中的挑战仍然相同。正在要求运营领导者在KPIS中提供更多 - 例如吞吐,成本,效率,质量和可持续性 - 并要求每年提供增量改善。第四个工业革命(4IR)带来了许多承诺:更多的传感器,更多的连接,更多的数据,更好的控制,更好的工具和方法,以了解数据,以及对后果的更大了解。但对于所有承诺,结果一直顽固地缓慢。资产越来越复杂,依赖性难以理解,实时外部性正在影响这些系统 - 经常与不可预见的后果影响。AI和先进分析的交汇处可以获得业务领导者他们渴望的转型结果。这些技术可以通过数据孤岛突破,并全面分析您的运营,以提供更深入的洞察力,即人类和先进的控制可以采取行动。它都可以实时发生。 AI和高级分析可以帮助您更好地显示蝴蝶效果,了解对维护一个资产的决策将如何影响另一个资产,并帮助业务领导者如此拼命地获得其业务的敏捷性。

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