Artificial intelligence (AI) will become an unavoidable choice in manufacturing companies where massive use is made of devices that monitor operations. To evaluate the potential of AI in the management of industrial processes and elucidate the reasons behind the slow adoption of this technology in the manufacturing industry,
According to a panel of experts, the cognitive abilities of AI – the processing of natural language, the detection of objects and faces, etc. – can be easily applied in any industry, including the manufacturing industry. Thanks to machine learning and deep learning, it is possible to analyze the data that the sensors carry during the manufacturing process (backend) and to quickly detect abnormal signals, failures and errors.
This is called predictive-type maintenance, which improves processes, reduces downtime and optimizes equipment performance. Operationally, AI is also being used more and more for visual inspection to detect defects in products. This reveals the emergence of a new area of application for AI, known as “predictive quality”. With the Internet of Things, it is expected that the operational technology infrastructure will be integrated with a company’s IT infrastructure. This integration should have a profound impact on business processes.
