Siemens and Google Want to Make AI/ML Adoption Easier
Siemens and Google Cloud are cooperating to simplify the deployment of artificial intelligence/machine learning (AI/ML) at manufacturing plants.
The two technology companies announced today that their effort combines Google Cloud’s data cloud and AI/ML capabilities with Siemens’ Digital Industries Factory Automation portfolio. This will allow manufacturers to harmonize factory data, run cloud-based AI/ML models on top of that data and deploy algorithms at the network edge, they explained. Their effort will enable applications such as visual inspection of products and allow users to predict the wear-and-tear of machines on the assembly line.
“The potential for AI to radically transform the plant floor is far from being exhausted,” said Axel Lorenz, vice president of factory automation control at Siemens Digital Industries. “Many manufacturers are still stuck in AI pilot projects today — we want to change that. Combining AI/ML technology from Google Cloud with Siemens’ solutions for industrial edge and industrial operation will be a game-changer for the manufacturing industry.”
In a new video, Lorenz explained How Siemens puts this concept to work in its own manufacture of industrial PCs. “By doing so, we help our workers to package the right component completely, and that saves time, it saves rework and it increases customer satisfaction,” he said.
Dominik Wee, managing director of manufacturing and industrial at Google Cloud, explained the cooperation between the two companies will “bring AI/ML to the manufacturing industry at scale. By simplifying the deployment of AI in industrial use cases, we’re helping employees augment their critical work on the shop floor.”
To read more about the applications of AI/ML in manufacturing and other industries, click here.