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This talk was held at the 10th meeting on February 3rd 2014 by Daniel Fasel.
Many traditional Swiss companies, such as banks, insurance companies and government agencies, are highly interested in Big Data and Data Science but don’t know exactly what the business value of Big Data is for them. Often Big Data is misinterpreted as large amounts of data and companies are unaware of the innovation behind the new technologies of Big Data and how these technologies can be profitable to them. In this presentation, I discuss sample cases that demonstrate a set of these new technologies and how they can be applied not only for large web scale data but also for data sets of traditional companies. First, I demonstrate how multi-structured data can be indexed and searched using Autonomy. I show how fast new analytical application can be built based on a real-time streaming example using STORM, Redis and Node.js. And the last demonstration shows how machine learning algorithms and visualization can be applied for improving analytics using AsterData.