Modern manufacturers (and Formula 1 race teams) need real-time insights right where the action is. But how do you gain data-centre level compute power without the time involved with sending information to be analysed and the results returned?
One of the most striking similarities between manufacturing and the high-octane world of Formula One is how both are trying to marry up the unstructured insights and ‘gut feelings’ of their respective experts with more structured telemetry and analytics.
Manufacturing is waiting for 5G, with two-thirds of industrial firms planning to use the network within the first two years of availability, a new report has found.
Growing regulatory change and uncertainty is impacting the vast majority of process manufacturers, but they are responding by investing in new technologies and leveraging the cache surrounding 'Made in America'.
Industry commentators believe that, over time, every machine on every factory floor will have its own digital twin. Some have even been so brazen as to suggest that at least half of large industrial companies will adopt this self-learning technology by 2021.
Yesterday at the Samsung Foundry Forum, Arm, in collaboration with Samsung Foundry, Cadence, and Sondrel, demonstrated its latest IoT test chip and development board, the Musca-S1.
Despite debating the merits of paperless for the past two decades, very few manufacturing firms have actually adopted an entirely paperless operation. Mark Hughes says it is time to stop talking about it – and start adopting.
Manufacturers generate massive amounts of data, yet very few put this intelligence to use. Over the years, most industrial businesses have lagged behind in their IT capabilities and it has cost them.
My afternoon roundtables at this year’s Industrial Data Summit included discussions around ‘Connected Product Innovation’ and ‘Artificial Intelligence versus Machine Learning.
