Abu Dhabi is gearing up for the next phase in advances in science and technology by announcing plans to open the world’s first University of Artificial Intelligence.
There's a lot of confusing buzz surrounding machine learning and AI, but your first step to getting real value from machine data is quite straightforward.
Driven by increasing market demand for highly personalised products, the need for manufacturers to leverage the full value of their data is greater than ever. Yet, producing smaller batches of non-standard, unique products is significantly more complex and requires data ‘on-demand’.
Electronic Data Interchange (EDI) provides trading partners with automatic, standardised business document exchange. To process documents, the data needs to be converted to and from different EDI formats, very often modified to partners business needs.
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.
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.
