Ritu Jyoti, global AI research lead at market research firm IDC, mentions windmill makers as an example of how AI systems could alter manufacturing.
She claims that the corporation spent weeks analyzing data from watching a working prototype in order to optimize windmills before AI. Using a digital twin or a virtual representation of a working windmill, the company has now significantly sped up the process by simulating and creating improvements through machine learning (ML) and artificial intelligence (AI).
“They employed drones and AI technologies to generate a digital win because there were times when it was physically impossible for them to even go and get all the measurements,” Jyoti explains. These days, the manufacturer considers AI/ML technology to be indispensable. “Because they won’t be relevant if they don’t do it,” she explains.
In an effort to remain competitive, businesses are turning to digital transformation due to disruptions in the manufacturing and supply chain. These changes, together with the introduction of AI, provide manufacturers the chance to improve manufacturing’s sustainability, safety, and efficiency.
Businesses can make use of artificial intelligence (AI) to lessen downtime and streamline operations, put into effect motorized system that can intensify speed and security, enable AI to briskly pick-up oddity with computer vision, and develop AI systems that can scrutinize vast amounts of data to find out what customer actually needs.
According to Pierre Goutorbe, AI solutions director for energy and manufacturing at Dataiku, “the biggest benefits come in manufacturing when people from the business are able to work together with data experts, using data and AI to get insights, ultimately taking actions to improve their processes.” “We will see the fringe benefits of AI as more and more laborers become more used to of it on a daily basis,” he further added.
Accelerating the use of AI
In the global market in order to remain competitive, the design industry has been evolving in response to business logistics management disruptions and employee shortages. It is revealed in a study by Dataiku and Databricks, conducted in June 2023 that the manufacturing sector trails behind other industries. According to an estimate, about 25% of manufacturing companies are still in the stage of investigation or experimentation for adopting AI in comparison to 19% of companies in all other industries.