Google and Siemens combine forces to address AI at the industrial edge


Google has partnered with Siemens to combine deep area experience in manufacturing with synthetic intelligence (AI). The partnership goals to present manufacturing with a means to deploy AI at the edge on manufacturing production lines in a means that may scale globally.

In a video showcasing how AI could possibly be deployed on a manufacturing line, Axel Lorenz, vice-president of management and manufacturing facility automation at Siemens Digital Industries, mentioned AI-powered imaginative and prescient, based mostly on a digital camera and a mannequin skilled by Google Cloud. Such a system could possibly be used for inspection on the manufacturing line to assist its employees guarantee the packaging of industrial PCs is appropriate.

According to Google, whereas AI tasks have been deployed by many corporations in “islands” throughout the plant ground, producers have struggled to implement AI at scale throughout their world operations.

Google claims its method can function throughout many alternative manufacturing corporations by providing the potential to deploy AI on a worldwide scale.

Dominik Wee, managing director of producing and industrial at Google Cloud, mentioned: “Siemens is a leader in advancing industrial automation and software, and Google Cloud is a leader in data analytics and AI/ML. This cooperation will combine the best of both worlds and 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.”

Data drives today’s industrial processes, however many producers proceed to use legacy software program and a number of methods to analyse plant info, which is resource-intensive and requires frequent guide updates to guarantee accuracy.

Through the partnership, Siemens intends to combine Google Cloud’s information cloud and synthetic intelligence/machine studying (AI/ML) applied sciences with its manufacturing facility automation system to assist producers innovate for the future.

In a blog post describing a vision for AI-powered manufacturing facility automation, Rainer Brehm, CEO of manufacturing facility automation at Siemens, predicted how producers wanting to make what individuals need will endeavour to construct merchandise that may be customised. This, he mentioned, would require a shift in manufacturing from planned-out, overarching processes customary at this time to versatile, modular manufacturing.

“This new approach to manufacturing will use smart transport and handling systems, and the optimal path will be envisaged, simulated and implemented in real time. It will make it possible to change over production to an entirely new product overnight without wasting valuable time on engineering and commissioning a new production line,” Brehm wrote in the weblog publish.

Brehm mentioned that autonomous manufacturing wants AI, edge and cloud computing, and blockchain. “These and other technologies are enabling the autonomous factory in ways that would not have been thinkable five years ago. Even today, they offer companies ways to imbue machines with intelligence – to make them capable of processing and analysing data and using it to make decisions independently.”

Google’s partnership with Siemens, one in every of the world’s largest producers, follows on from Microsoft’s acquisition of Nuance earlier in April. Both are examples of public cloud suppliers rising area experience in AI. While Microsoft spent $19bn buying Nuance to bolster healthcare AI, the Siemens and Google partnership is wholly targeted on filling a spot in manufacturing to present AI at the so-called industrial edge.



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