Big Dating: *um shows how great things happen when Data Science meets sparkling ideas

Actually the hype around Big Data has past according to Gartner’s analysts. In fact, the implementation could finally begin. While big data conversations mainly revolved around fictitious scenarios in recent years, several business cases have been successfully implemented by now. Nonetheless for many companies Big Data is still rather seen as “the Big Unknown”. So even though data exists, it is processed manually, and at the very thought of automation many companies don’t even know where to begin. Obstacles like these are what *um Data Scientist Florian Dohmann found many among the participants of the ‘Vertriebsmanager’ congress in June in Berlin – and replied with an interactive round-table in which he showed that it could be an easy “game” to develop and push Big Data ideas.

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Successful Big Data project implementation: *um offers free guide to data use for companies of every size

Tailor-made offers in the online shop, reduction of shopping basket cancellations and returns, optimal utilization of production processes, …targeted and successful use of corporate data opens up competitive advantages, potential savings and new business opportunities. There are now numerous examples of good practice. But, paradoxical as it may sound, this very often remain theory. Because many companies still lack the expertise and the means to transfer the success stories of others to a concrete case in their own company.

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Behind artificial intelligence there is always a clever mind – and behind high intelligence there are actually eight of them

*um data scientists are creating key foundations for Machine Learning and Industry 4.0

The unbelievable machine is running at full speed: Over the past twelve months *um has been building a unique data science team around Chief Data Scientist Klaas Wilhelm Bollhoefer. The former Fraunhofer scientist Dr. Christian Thurau is using more than ten years of expertise in the field of Artificial Intelligence & Machine Learning. The rapidly expanding team currently consists of eight data scientists who collectively bring more than forty years of research and practical experience to the table. Such cumulative expertise can’t be found anywhere else in Europe.

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