Manufacturing processes produce massive amounts of data that offer a tremendous opportunity for competitive advantage—as long as it’s used to its full potential. Yet many companies do not understand the role that artificial intelligence (AI) and machine learning (ML) can play in interpreting their manufacturing data. There are numerous benefits of AI and ML, as well as ways companies can use AI and ML models along with sensor data to transform production.
Register to read this brief from Lifecycle Insights for a better understanding of how AI and ML play a critical role in manufacturing, and insight on how to build and deploy AI and ML models for your business.
Sensors in manufacturing
Sensors throughout the manufacturing process produce a variety of useful data, which can be used to train artificial intelligence (AI) and machine learning (ML) models, ultimately improving manufacturing processes. Thanks to sensors, organizations can gain better insights into production operations, uncover potential problems before they arise and drastically improve the productivity of their manufacturing assets. Manufacturers can measure and collect data on everything from temperature and humidity to motor speed, flow rate, and more. Once sensor data is collected, it's streamed to an IIoT solution, where the data is put to work training and improving ML models that represent the digital equivalent of the manufacturing system. Once perfected, these ML models become powerful predictors and decision-makers.
Digital transformation initiatives
Manufacturing companies have embraced digital transformation initiatives as they look to a variety of useful data available throughout the manufacturing process. Companies are producing more data than ever before but to realize that data’s full potential, companies need to convert it into a business asset. As more manufacturing data is processed and analyzed, the importance of AI and ML expands, as these are the technologies of the future.
Overall equipment effectiveness benefits from AI
AI and ML are crucial to manufacturers’ success in today’s competitive and volatile business environment. Manufacturers must reduce their risks in all areas, especially in overall equipment effectiveness (OEE). AI and ML play a crucial role in keeping the OEE score high. By connecting to the industrial IoT solution and using AI and ML to study manufacturing operations in real-time, companies can improve their OEE.
Download this brief from Lifecycle Insights to learn more about why companies wanting to gain a competitive advantage should be looking at AI and machine learning.