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Data is a new business asset for many companies, especially manufacturing companies. These organizations’ manufacturing processes produce massive amounts of data each day. That data presents a powerful opportunity forcompetitive advantage—as long as it’s used to its full potential. To better leverage data, manufacturing companies have embraced digital transformation (DX) initiatives. These initiatives are widespread throughout the manufacturing industry. More than 80% of respondents to Lifecycle Insights’ recent ROI of DX study stated they have started or plan to startDX initiatives. In beginning these initiatives, executives often look to sensors throughout the manufacturing process that produce a variety of useful data. This data can be used to train artificial intelligence (AI) and machine learning (ML) models, ultimately improving manufacturing processes. Thanks to sensors, organizations gain better insights into production operations, uncover potential problems before they arise, and drastically improve the productivity of their manufacturing assets. This brief covers the role of AI and ML in the industrial Internet of Things (IIoT). It examines specific benefits of AI and ML, as well as the ways companies can use AI and ML models along with sensor IoT data to transform production. |
