Posts In Category

Machine Learning

Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.

FinanceInterviewsMachine Learning

Follow @DataconomyMedia We caught up with Laurent Schüller, Head of Brand Management at Kreditech, to discuss innovations in the personal finance market and Kreditech’s plan for the future. Kreditech is a BIG DATA infrastructure that allows for credit bureau independent acquisition, identification, scoring, retention management in consumer lending. Can you tell us a little bit about Kreditech?

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Big Data takes over the Humanities
Machine Learning

Google Translate is an excellent example of the foray of machine learning into languages. Can we extend this notion into the study of the humanities in general? Enter the digital humanities. There has been a lot of enthusiasm on how technology will open up new avenues of research, as well

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BI & AnalyticsIndustrial Goods & ServicesInterviewsMachine Learning

We met up with Jean Louis Andorin, COO of Precogs recently. Jean Louis gave us a brief insight into Precogs. Precogs is a business analytics company offering visibility on the risk of adverse events in  the electronic manufacturing supply chain. Who are you?              

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BI & AnalyticsIndustrial Goods & ServicesInterviewsMachine LearningTechnology & IT

We met up with Olav Strand, Regional Director of splunk at the Volkswagen stand in CeBIT. Olav gave us a brief insight into splunk and its EMEA operations. He also explained the interesting collaboration that splunk  had with Volkswagen Data Lab at CeBIT in Hannover. splunk  is an American multinational corporation headquartered

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BI & AnalyticsCase StudiesMachine LearningRetail & Consumer

Supermarket Giant Tesco pioneers Big Data: Turning Customer Loyalty into Royalties                                                                               

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Data ScienceMachine LearningTechnology & IT

Big data is overwhelmingly powerful, overwhelmingly omnipresent, and most of all, overwhelming to grasp. As such, three factors, three big data waves are currently rolling into our ports. Big data is to be generated, gathered, and aggregated, accumulated, produced, analyzed, and understood at ever increasing speeds.  With the ‘internet of

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