Siemens and Microsoft partner to push AI adoption in industrial sectors
Microsoft and Siemens revealed a new generative-AI assistant catering to professionals in the manufacturing, healthcare, transportation and infrastructure industries.
The German technology company Siemens has partnered with Microsoft and announced its new generative artificial intelligence (AI) -powered assistant the Siemens Industrial Copilot.
On Oct. 31, the companies revealed the AI assistant to promote “human-machine collaboration” and enhance productivity. In the announcement, they have also revealed to be building additional AI assistants to cater to professionals in the manufacturing, healthcare, transportation and infrastructure industries.
The companies have stated that their goal is to bring the “benefits of generative AI to industries worldwide.” Within the manufacturing industry itself, the companies say they have planned Copilots for automotive, consumer packaged goods and machine building.
According to Microsoft, the German automotive manufacturer Schaeffler AG has already adopted the Siemens Industrial Copilot.
Satya Nadella, the chairman and CEO of Microsoft, said that he sees the next generation of AI being able to bring an acceleration of innovation “across the entire industrial sector.”
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Roland Busch, the CEO of Siemens AG, echoed the sentiment saying:
“This has the potential to revolutionize the way companies design, develop, manufacture, and operate.”
He highlighted that human-machine collaboration accessibility makes it so that engineers can increase the speed at which they’re able to develop code, innovate and overcome any labor shortages.
A direct competitor of Siemens, the German manufacturer Bosch, partnered with the Fetch.ai Foundation back in February to launch a $100 million grant scheme to fund Web3, AI and IoT development projects.
Bosch was also seen at the IAA Mobility fair in Munich, German in September, piloting its innovations in the automotive scene alongside the EU and blockchain companies.
AI has been making waves in industries across the globe since the emergence of high-level models became more widely accessible in November 2022 with the release of OpenAI’s GPT-4.
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Author: Savannah Fortis