Posted By Jeff Moad, June 18, 2013 at 1:14 PM, in Category: Transformative Technologies
Manufacturers have been among the most avid adopters of big data analytics, for fairly obvious reasons: By aggregating and analyzing vast quantities of near-real-time plant floor and product lifecycle data, manufacturers can gain valuable, even predictive insights into how to improve operations.
As early big data adopters, however, manufacturers have been among the first to encounter big data’s challenges. One of those is the need to upgrade corporate network infrastructures, allowing them to cope with the real-time transfer of large data sets required by big data analytics. On a recent conference call for members of the Manufacturing Leadership Council, an executive from a large, global manufacturer said his company has been forced to rethink and upgrade its backbone network so it can deal with high data sets being generated not only by big data analytics but also by applications such as diagnostic video on the plant floor. The challenges, said this executive, is to redesign and segment the network to account for current and future growth without breaking the bank on network upgrades.
Will big data and plant floor video applications require your company to invest in upgrading its network infrastructure? If so, what are you doing to control related costs?
Written by Jeff Moad
Jeff Moad is Research Director and Executive Editor with the Manufacturing Leadership Community. He also directs the Manufacturing Leadership Awards Program. Follow our LinkedIn Groups: Manufacturing Leadership Council and Manufacturing Leadership Summit