{"id":10631,"date":"2025-12-23T05:55:40","date_gmt":"2025-12-23T13:55:40","guid":{"rendered":"https:\/\/www.fictiv.com\/?post_type=cpt_blog&p=10631"},"modified":"2025-12-29T11:13:21","modified_gmt":"2025-12-29T19:13:21","slug":"artificial-intelligence-a-digital-manufacturing-catalyst","status":"publish","type":"cpt_blog","link":"https:\/\/www.fictiv.com\/articles\/artificial-intelligence-a-digital-manufacturing-catalyst","title":{"rendered":"AI in Digital Manufacturing: How Artificial Intelligence Improves Production Efficiency and Quality"},"content":{"rendered":"\n

In manufacturing, artificial intelligence is a catalyst tool that enables workers to accomplish higher-value tasks with greater accuracy, fewer errors, and fewer accidents. Instead of a dystopian nightmare, AI and digital manufacturing can be a huge advantage to a factory\u2019s workforce.<\/p>\n\n\n\n

Even though artificial intelligence sometimes gets a bad rap for being overhyped, it is no longer a futuristic concept. AI has been a core technology in mechanical engineering<\/a>, design, and manufacturing for some time now.<\/p>\n\n\n\n

AI works best when it has access to large amounts of data to find patterns and insights. With digital manufacturing<\/a> increasing the sources of data throughout a factory floor, AI is primed to support workers by finding insights to improve production automatically. <\/p>\n\n\n\n

With AI, machines break less often, higher-quality goods are produced, and people are spared from many mundane and tedious tasks, freeing them to do higher-value work. Embracing AI on the factory floor allows workers to stay a step ahead of the competition.<\/p>\n\n\n\n

\"ai
Automation is a big component of modern manufacturing<\/figcaption><\/figure>\n\n\n\n

What Does AI Actually Mean?<\/h2>\n\n\n\n

Artificial intelligence has become a buzzword, but what does the term really mean? By definition, AI tries to replicate human decision-making and intelligence, although it is not yet indistinguishable from human intelligence. In practice, artificial intelligence looks for patterns and signals in large datasets to deliver insights that can be hard to discover otherwise. <\/p>\n\n\n\n

Computers are exceptional at processing large amounts of data, which can make them better at spotting these insights than humans. While artificial intelligence covers a wide array of technologies, machine learning and neural networks are two popular applications of AI in manufacturing.<\/p>\n\n\n\n

\"ai
Artificial Intelligence (AI)<\/figcaption><\/figure>\n\n\n\n

Machine Learning (ML)<\/h3>\n\n\n\n

On the road to \u201ctrue\u201d artificial intelligence\u2014a hypothetical AI with human-level cognitive ability\u2014machine learning is a significant first stop. Machine learning recognizes patterns in data and then applies those learnings over time to make better decisions. With machine learning, an AI algorithm can be trained on how to do a specific task, like identifying pictures of cats or detecting vibrational frequencies that indicate that a bearing is failing. With machine learning, an algorithm processes a large amount of labeled data, learns from it, and can then make better predictions on new data.<\/p>\n\n\n\n

Deep Neural Networks<\/h3>\n\n\n\n

Machine learning builds artificial intelligence in a way that works specifically for computers. Computers typically work in a very linear way. Data is fed in from one direction, processed, and comes out at the end. The human brain, however, differs from computers in that it has a network of interconnected synapses. These connections allow many parts of the brain to process and analyze data simultaneously before arriving at an answer. <\/p>\n\n\n\n

Based on the work of neuroscientists, computer programmers have attempted to replicate these connections through neural networks. Neural networks function by breaking complex tasks down into parts that can \u201clearn\u201d new behavior through interaction. These types of models tend to be more flexible and responsive, but can be harder to design.<\/p>\n\n\n\n

How AI Makes Digital Manufacturing Better<\/h2>\n\n\n\n

AI, machine learning, neural networks\u2014what does any of that have to do with manufacturing? AI enhances digital manufacturing by processing vast amounts of data generated before, during, and after production to inform better decision-making and increase efficiency. In short, artificial intelligence makes factories better. <\/p>\n\n\n\n

Here are three key areas where AI enables digital manufacturing:<\/p>\n\n\n\n