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Logistics sector sees high demand for big data

Sep 30, 2016 | By admin

Demand for big data analytics solutions in the logistics and supply chain sector is growing rapidly, with almost all firms now recognising the need for these solutions. This is according to a new study conducted by Capgemini Consulting, Penn State University and Penske Logistics, which revealed 98 per cent of third-party logistics companies (98 per…

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IoT projects moving beyond pilot stage, study finds

Sep 28, 2016 | By admin

More businesses are moving beyond small-scale pilot schemes when it comes to the Internet of Things (IoT), towards full-scale deployments that incorporate big data analytics, cloud computing and security capabilities. This is according to new research from International Data Corporation (IDC), which revealed that almost a third of firms (31.4 per cent) have already launched…

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Customers ‘unaware’ of how firms use their data

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The vast majority of customers have no idea how businesses are using the personal data they possess, while many also do not trust companies to be responsible in their use of this information. This is according to new research from the Chartered Institute of Marketing (CIM), which revealed nine of of ten customers are in…

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FCA approves use of big data for insurers

Sep 23, 2016 | By admin

The UK's Financial Conduct Authority (FCA) has signalled its approval of the use of big data in the insurance industry, after it revealed it was dropping plans to launch a full inquiry into the use of the technology in the industry. The regulator announced a review into the sector last year, stating it was aiming…

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New programming language ‘boosts big data speeds fourfold’

Sep 22, 2016 | By admin

A new programming language developed by researchers at the Massachusetts Institute of Technology (MIT) is claiming to be able to increase the speed of big data processing by up to four times. Called Milk, the language allows application developers to manage memory more efficiently in programs that deal with scattered data points in large data…

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