Building Trust in AI/ML: The Key to Unlocking its Potential in Manufacturing

Manufacturers are adopting artificial intelligence (AI)/machine learning (ML) to increase efficiencies and cut costs.?Using AI/ML to monitor and analyze plant operations reveals production chokepoints, potential equipment failures, and areas where automation can streamline operations. Thanks to OpenAI & ChatGPT we are also seeing a new breed of generative AI applications.?These technologies will certainly have an impact on many aspects of manufacturing, but most of that impact will be in improving existing processes.??

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Analyzing operational information to improve performance is nothing new. Manufacturers have been applying data to address the same problems for decades; to make products better and faster while reducing costs. Proven algorithms to analyze plant operations have been in place for some time, looking for correlations that suggest causation and provide predictive insight. What has changed is the data processing technology and improved software to build applications faster with a more intuitive User Experience. Today, computers are more powerful and less expensive, making it easier to build better, more complex algorithms. We have come a long way from running analyses on mainframes using punch cards, but the fundamental problems are the same.

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