Disruption in manufacturing and the availability chain has pushed businesses toward digital transformation as they seek ways to remain competitive. For manufacturers, these disruptions—together with the arrival of AI—present opportunities to make manufacturing more efficient, safer, and sustainable.

Corporations can use AI to streamline processes and fight downtime, adopt robotics that promote safety and speed, allow AI to detect anomalies quickly through computer vision, and develop AI systems to process vast volumes of knowledge to discover patterns and predict customer needs.

“In manufacturing, the most important advantages come when people from the business are capable of work along with data experts, using data and AI to get insights, ultimately taking actions to enhance their processes,” says Pierre Goutorbe, AI solutions director for energy and manufacturing at Dataiku. “The more staff get accustomed to AI and apply it to a each day basis, the more we’ll see the profit from it,” he says.

Speeding up the adoption of AI

Between supply-chain disruptions and employee shortages, the manufacturing sector has been innovating to remain ahead in the worldwide marketplace. Nevertheless, a June 2023 study by Dataiku and Databricks found manufacturing lags behind other industries, with a couple of quarter (24%) of corporations still on the exploration or experimentation stage by way of AI adoption, while only about one-fifth (19%) of corporations across all other industries are still on this starting stage.