DIGITAL TRANSFORMATION
Manufacturing plants across the globe generate terabytes of data daily from machines, sensors and control systems, yet much of this valuable information remains trapped in isolated systems. This fragmentation represents perhaps the most significant barrier to the digital transformation that industry leaders have promised for the past decade.
For manufacturers eager to implement AI and machine learning, these data silos present a foundational problem that must be addressed before meaningful progress can occur. Recent research from Google Cloud reveals that nearly two-thirds of manufacturers are now deploying generative AI( Gen AI), indicating growing adoption despite these challenges.
“ The manufacturing ecosystem is diverse and siloed, with different OT and IT providers, making it challenging to aggregate data,” explains Brandon Speweik, Head of Industry Sales & Strategy at GFT.“ But thanks to innovations like those we’ ve developed with Google Cloud, we are beginning to realise AI’ s full potential.”
This integration challenge sits at the heart of a partnership between the technology consultancy and Google Cloud, who since 2019 have collaborated on solving the persistent problem of disconnected manufacturing data.
Manufacturing Data Engine addresses integration challenges across factory systems The current manufacturing landscape consists of a patchwork of legacy systems
230 May 2025