A survey shows that about 24% of manufacturing companies in the United States are still in the AI ​​exploration stage.

When thinking about the potential of AI systems to transform manufacturing, Ritu Jyoti, global AI research director at market intelligence firm IDC, mentioned windmill manufacturers.

Before using artificial intelligence, she said, if the company wanted to improve the windmill, the company would analyze the data by observing a working windmill prototype, a process that would take weeks. Now with artificial intelligence, manufacturers can use digital twins (digital models of windmills) to significantly shorten this process, and use machine learning and artificial intelligence to create and simulate improvements.

Jyoti said: “Sometimes it’s not even possible for manufacturers to do all the measuring work because many jobs are physically challenging for humans, so they use drones and artificial intelligence technology to do it, This is a win for digital.” The manufacturer now considers this technology of artificial intelligence and machine learning to be crucial. "Because if they don't do that, they can't keep up with the changes in the market," she said.

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Disruptions to manufacturing and supply chains have prompted businesses to engage in digital transformation as they seek ways to stay competitive. For manufacturers, technological disruption, including artificial intelligence, offers opportunities to make manufacturing more efficient, safer and more sustainable.

Companies can use AI to streamline processes and reduce downtime, adopt robots that increase safety and speed, allow AI to quickly detect anomalies using computer vision technology, and develop AI systems to process large amounts of data to identify patterns and predictions client needs.

Pierre Goutorbe, director of AI solutions for energy and manufacturing at Dataiku, said: “In manufacturing, when business people are able to work with data experts, they can use data and AI to gain valuable insights. That's when we see the maximum benefit when we take the information and ultimately take action to improve our processes." He also said: "The more employees are familiar with AI and using it in their daily lives, the more we will see its benefits."

Amid supply chain disruptions and worker shortages, manufacturing has been innovating to stay ahead of the global market.

However, a June 2023 study by Dataiku and Databricks found that manufacturing lags behind other industries in AI applications, with about a quarter (24%) of companies still exploring AI applications or experimental stage, while only about one-fifth (19%) of companies in all other industries are still in their infancy.

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