DIGITAL FACTORY
“ Advancements in the Industrial Internet of Things ( IIoT ) and artificial intelligence
( AI ) are reducing the cost of adopting new manufacturing technologies ”
DOMINIK WEE MANAGING DIRECTOR GLOBAL AUTOMOTIVE ,
MANUFACTURING AND ENERGY AT GOOGLE CLOUD
control , digital quality , energy management , and workforce productivity and safety .
Collaborating with Siemens , Google Cloud aims to address such challenges with the help of cloud technology , to optimise factory processes and improve productivity on the shop floor . “ By combining Google Cloud ’ s data analytics and AI / ML capabilities with Siemens ’ Digital Industries Factory Automation ( SDIFA ) software , manufacturers will now be able to harmonise their factory data , run cloud-based AI / ML models on top of that data , and deploy algorithms at the network edge to manage everything , including predicting the wear-and-tear of machines on the assembly line ,” says Wee . By bringing operational data into the cloud , organisations can break down data silos , “ enabling greater visibility , connectivity and insights across the operations ,” explains Wee , who adds that “ purpose-built solutions which leverage the cloud also reduce the complexity for end-users .”
Ultimately , “ the cloud offers the potential for a more comprehensive digital ecosystem with significantly reduced data and infrastructure costs , plus increased performance , simplicity , and scalability across IT environments . Moving to the cloud is an important way businesses can optimise their technology spend and find new efficiencies ,” concludes Wee .
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