26 n ARTIFICIAL INTELLIGENCE October 2026 www.drivesncontrols.com Five ways that AI is revolutionising manufacturing Artificial intelligence (AI) is fundamentally reshaping the manufacturing sector. By integrating intelligent systems into production lines and supply chains, companies are unlocking unprecedented levels of efficiency, precision and innovation. This evolution goes beyond simple automation, introducing systems that learn, adapt and predict outcomes. The result is a smarter, more resilient and more sustainable manufacturing landscape. AI in manufacturing applies technologies such as machine learning, generative AI and agentic AI to industrial data, models and knowledge, to improve analysis, decisionmaking and execution. Unlike generalpurpose AI, Industrial AI can operate in the context of products, processes, production systems and supply chains, helping manufacturers to predict outcomes, explore alternatives and take informed actions. A commonly cited AI use case in manufacturing is predictive maintenance, but the applications extend far beyond this. AI enables manufacturers to offer mass customisation, allowing products to be tailored to individual customers without slowing down the line. It increasingly touches almost every stage of production, from initial design to final quality inspection. Industry 4.0 and the data explosion AI is crucial to the concept of Industry 4.0 – the trend towards greater automation in manufacturing, and the generation and transmission of massive amounts of data on the factory floor. In essence, the Fourth Industrial Revolution is the trend toward automation and data exchange in manufacturing technologies and processes, encompassing cyberphysical systems, the Internet of Things (IoT), cloud computing, cognitive computing and AI together. Industrial IoT and smart factories now generate vast amounts of data every single day, from vibration sensors on motors to cameras watching weld seams. This volume is exactly why AI has become necessary rather than optional: it’s the only practical way to turn that firehose of sensor data into decisions a human can act on in real time. 1. Preventing Failures Before They Happen Unexpected equipment failures are a primary cause of costly downtime in manufacturing. Traditional maintenance schedules, based on fixed intervals, often result in servicing As AI evolves, its capacity to innovate and optimise will solidify its role as a cornerstone of modern manufacturing. Mike Bradford, director of strategic business development at Delmia, identifies five key areas where AI is making a significant impact, looking at applications, benefits and the challenges manufacturers are having to navigate.
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