GE Digital’s Predix Manufacturing Data Cloud promises to give manufacturers an ‘unprecedented’ ability to create smart connected factories, offering greater flexibility of deployment, fewer on-premises systems and optimised performance.
The high-octane world of Formula One isn't as far removed from the more traditional field of manufacturing as you might think. In fact, they share several key similarities beyond the obvious.
Cloud is seen as the fundamental first step for any scalable digitalisation strategy. In reality, a successful digital journey starts with a strong on-premise foundation.
For many industrial organisations, the digital journey starts with the goal of connecting assets and systems to improve productivity, availability, and reliability.
With research suggesting artificial intelligence in manufacturing could become mainstream within 24 months, what can manufacturers gain from taking an early adopter approach? Tom Leeson reports.
Manufacturers need to move with increased agility and insight to grow and thrive in today’s competitive marketplace. In short, they need to become organisations that can connect everything in order to engage everywhere.
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.
'Black holes’ are a common supply chain problem, caused as much by disjointed systems as by lack of visibility into data, processes and workflows. That may not have been an issue historically, but in today’s fast-moving, demand-driven landscape, it could mean the difference between gaining market share and losing it.
A successful cloud adoption requires only a handful of key ingredients, addressing each of which mitigates much of the risk involved. Yet most cloud strategies are missing at least one of these factors, with many just paying lip service to the rest.
