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Showing posts from August 16, 2014

The convergence of business intelligence and data science/machine learning: stakes, opportunities and realities.

Beyond the hype  surrounding the Big Data trend, it is critical to recall that, we are living in the mobile-data-driven world where: technologies, services, applications, products and content are and will be more and more personalized, tailored , intuitive, intelligent and mimic.
Within this ocean of data, technologies, content, services, products and possibilities: organizations, businesses, and public sectors need relevant technologies, good practices and methodologies, to appropriate sophisticated performance and competitiveness in their daily activities and prospective.
The convergence of business intelligence and data science/machine learning is an approach which combines the situational-intelligence, data science as an algorithm with the machine learning like the perfect methodology and technology. 
Within this combination of intelligence, methodologies and methodologies; business analysts and data scientists can easily and fluidly interact with Big Data from multiple sources in a…

A data-visualization tool that lets users highlight aberrations and possible patterns in the graphical display.

The most exciting thing when it comes to data-vizualization is its ability to help us in real-time to capture powerful knowledge from massive volume of data; to extract actionable insights and intelligence from relevant information and to get critical signs from accurate data. But the way visualizations are traditionally produced, faces outliers. This means lot of aberrant results related to any bad reductions, where you can lose information about where those output data points came from relative to the input data set.
Based on this critical reality, the Database Group at MIT’s Computer Science and Artificial Intelligence Laboratory has released a data-visualization tool that aims to let users highlight aberrations and possible patterns in the graphical display., soon #Retinknow, can observe that, the tool automatically can determine the bad data sources.
The new visualization tool, called DBWipes is a work of Eugene Wu, a graduate student in electrical engineering and…