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.
Facebook’s DeepFace technology is able to recognize faces 97.25% of the time, against 97.53% for a human. Such developments raise questions about the power of such tools and the implications for the future. Selected use cases of facial recognition technology include: * NameTag: Allows the user of Google Glass to
Speech recognition had long been considered difficult to program, but now appears standard in most modern smartphones. What’s the secret? Statistical modeling. While any word can begin a sentence, the words that follow do not appear in a random order. Machine learning can be employed to enable the software to
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?
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
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?
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
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