IoT-enabled infrastructure in factories produce mountains of data that managers can use to optimize plant operations. IoT technology and the sensors that generate most of this data are key building blocks for executing on the industry 4.零智能工厂的愿景. 对数据进行适当的分析和可视化, 再加上部署在云或边缘的机器学习, 能帮助公司获得更高的生产力吗, 灵活性, 创新和更有效地竞争.
The need to stitch together the tools required to support the entire workflow — from data prep to machine learning and MLOps (machine learning model operationalization management) — requires broad specialized knowledge and expertise, 以及大量的前期投资. 再加上需要在系统和工具之间传递数据, these factors introduce substantial amounts of risk into the implementation process.
We built “OPE电子”® SmartWorks™ Analytics specifically to address these challenges and enable data-driven decision making 和人工智能-augmented automation. 在这个视频中, 我们将演示如何构建一个分析管道, 包括MLOps模型的部署, 在一个智能工厂环境中.