NUREMBERG, Germany and SUNNYVALE, CA, USA, May 5, 2021 – Google Cloud and Siemens, an innovation and technology leader in industrial automation and software, today announced a new cooperation to optimize factory processes and improve productivity on the shop floor. Siemens intends to integrate Google Cloud's leading data cloud and artificial intelligence/machine learning (AI/ML) technologies with its factory automation solutions to help manufacturers innovate for the future. Siemens and Google Cloud to cooperate to transform manufacturing by enabling scaled deployment of artificial intelligence. Data drives today's industrial processes, but many manufacturers continue to use legacy software and multiple systems to analyze plant information, which is resource-intensive and requires frequent manual updates to ensure accuracy. In addition, while AI projects have been deployed by many companies in "islands" across the plant floor, manufacturers have struggled to implement AI at scale across their global operations.
Siemens has teamed with competitor Google Cloud to optimise factory processes and improve productivity on the shop floor with the mass deployment of machine learning applications. Siemens already has an industrial IoT cloud called Mindsphere but it intends to integrate Google Cloud's data cloud and artificial intelligence/machine learning (AI/ML) technologies with its factory automation systems. Many industrial manufacturers continue to use legacy software and multiple systems to analyze plant information, which is resource-intensive and requires frequent manual updates to ensure accuracy. In addition, while AI projects have been deployed by many companies in "islands" across the plant floor, manufacturers have struggled to implement AI at scale across their global operations. The combination of Google Cloud's data cloud and AI/ML capabilities with Siemens' Digital Industries Factory Automation portfolio, manufacturers will be able to harmonize their factory data, run cloud-based AI/ML models on top of that data, and deploy algorithms at the network edge.
IT DOESN'T take long to walk from Siemens's old headquarters in Munich to its new one, inaugurated in June: the German industrial conglomerate has built it right next door. The design is cutting-edge, as are the building's environmental features. It is packed with energy-saving sensors; channelled rainwater is used to flush the toilets. General Electric, Siemens's big American rival, will soon have a new base, too. But it takes three hours to drive from the old site in Fairfield, a Connecticut suburb, to the new one in Boston.
He is referring to the onset of the fourth industrial revolution, which the World Economic Forum predicted "will fundamentally alter the way we live, work and relate to one another. In its scale, scope and complexity, the transformation will be unlike anything humankind has experienced before." Fueled by advances in artificial intelligence, the Internet of Things and computing speed, businesses -- from auto to aerospace to retail -- are changing the fundamental building blocks of how they operate. By 2030, machine learning could contribute nearly $16 trillion to the global economy, research shows. For Mrosik and Siemens, the revolution is well underway.
A battle of industrial titans is shaping up as the Android-versus-iOS of manufacturing. Germany's Siemens AG and larger U.S. rival General Electric Co. (GE) are duking it out to develop the definitive'Internet of Things' cloud platform for industry. At issue is who will create and dominate a realm of technology that promises both to become the backbone of industrial automation and provide mountains of data about everything from parts inventories to how products are wearing long after their purchase. GE, Siemens and a constellation of other companies aim to reinvent manufacturing by letting firms of all sizes tap digital platforms linking each stage of the value chain -- from design through production to maintenance. The industrial IOT "is about connecting and using the data from end to end," said GE Chief Digital Officer William Ruh.