GFT and Google gave manufacturers a firsthand look at how to implement AI-powered automation at
MxD ’ s Innovation Center
customers ’ needs at all levels , making us trusted advisors who can collaborate to reach successful outcomes .”
Both Brandon and Fabien are united in their strong belief in AI ’ s potential to transform manufacturing – a belief backed up by data .
AI : Unrealised potential due to data silos Google Cloud ’ sROI of Gen AI for Manufacturing & Auto report reveals that nearly two-thirds of manufacturers are deploying generative AI , highlighting the industry ’ s ongoing surge in AI adoption .
“ It signifies a powerful shift in the industry , driven by a belief in AI ’ s ability to transform operations ,” Fabien says . “ AI can improve safety , enhance employee and customer experiences , develop new business models and unlock efficiency and growth .”
Brandon believes AI ’ s impact on manufacturing will be profound , arguably more so than other sectors . Despite this , acknowledges the adoption process has been slow due to insufficient digital foundations .
“ The manufacturing ecosystem is diverse and siloed , with different OT and IT providers , making it challenging to aggregate data ,” he explains . “ But thanks to innovations like those we ’ ve developed with Google Cloud , we are beginning to realise AI ’ s full potential .”
Fabien concurs , noting that AI adoption in manufacturing lags behind other sectors like financial services , where AI has been used for fraud detection for over a decade . However , as AI initiatives gain traction , manufacturers are rapidly seeing benefits , including greater efficiency , quality and safety .
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