Using machine learning to improve data matching accuracy in the public sector

by Guy Bradshaw on 15 December, 2018

At VIQTOR DAVIS we’re currently working together with IBM on an innovative new project to explore how machine learning can be used to improve the efficiency of MDM data matching and manual task resolution. A key function of MDM systems is to identify duplicate data across multiple systems, using matching...

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Shopping for data

by Ivo-Paul Tummers on 16 November, 2018

We live in an age where it seems as though there are endless possibilities for new insights, trends and uses of data. In this new era, decision-making rests even more on information. But many organisations still face significant challenges when it comes to digital transformation. The word ‘connectedness’ has...

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Blockchain and distributed ledgers

by Rob Guikers on 30 October, 2018

When you order a product from China you start a complex system. Before there is a new vacuum cleaner on your doorstep, there are sometimes dozens of logistics partners who each own your order for a short time. These parties must keep a complete paper trail for checking afterwards....

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Data changemakers: Roberto Maranca, Data Excellence VP at Schneider Electric

by Guy Bradshaw on 14 October, 2018

Roberto Maranca is Data Excellence VP at Schneider Electric. A highly-accomplished senior business leader with a wealth of experience across B2B, financial services, banking, and global corporate sectors, he is a committed data management evangelist. In this interview he talks about the importance of the CDO role, why data governance is...

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From physical logistics to data logistics

by Ivo-Paul Tummers on 12 October, 2018

This was the year of the bankrupt chain stores. But there are of course more business models that are under serious pressure, with a recently poor harvest. We can no longer protect the old, but we must embrace the new. In the last years I have been involved in...

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Data Changemakers: Jay Limburn, Distinguished Engineer and Director, IBM

by Guy Bradshaw on 03 September, 2018

Please describe a little about your own background and you ended up working with data? I was at college and then 19 years ago I joined IBM as an apprentice. I did a two-year apprenticeship with day-release at University. Originally I was working on Lotus Notes development, so on...

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