While there are still many problems with the Internet of Things (IoT) and the Industrial IoT (IIoT), it has not stopped many of the companies that are developing IIoT applications and infrastructure from developing new products and even alliances. One of the most notable alliances in recent weeks has been the recently announced partnership between Google and Siemens, who are to pooling resources to better facilitate better IIoT applications in the enterprise.
This follows the announcement earlier this month that TX-based Siemens plans to integrate Google Cloudâs data cloud and artificial intelligence/machine learning (AI/ML) technologies with Siemens factory automation solutions. The partnership is a logical one and the two together should enable organizations to develop a more powerful and effective IIoT presence.
Google Cloud and Siemens, an innovation and technology leader in industrial automation and software, have announced a new cooperation to optimize factory processes and improve productivity on the shop floor.
Process and Control Today | Siemens and Google Cloud to cooperate on AI-based solutions in manufacturing pandct.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from pandct.com Daily Mail and Mail on Sunday newspapers.
“The potential for artificial intelligence to radically transform the plant floor is far from being exhausted,” said Siemens Digital Industries’ Axel Lorenz, VP of Control at Factory Automation.
“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.”
Industry 4.0 and Industrial IoT are well-worn tropes across the manufacturing sector but Siemens and Google Cloud claim their combined industrial and technology expertise can bring about holistic AI solutions that are not confined to a siloed part of the factory floor, bringing tangible benefits that go beyond the pilot projects and test cases that have become somewhat synonymous with AI in manufacturing.
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