A common data exploration came up while talking with a British colleague in the advertising industry on Friday, how many independent subject areas should be investigated (1, 10, 100, …, N) in order to have a statistically significant chance of making a discovery… Read More ›
Month: December 2012
Heads Up – This is a stream of consciousness! Please be patient with me while I incrementally refining it over time. Critical feedback is welcome! There are several different ways to define when data becomes big data. The two traditional approaches… Read More ›
The Catastrophe Modeling ecosystem, used in insurance and reinsurance, is a good example of the types of traditional computational platforms that are undergoing an assault from the exponential changes seen in data. Not only are commercially available simulation and modeling… Read More ›
Here are five interesting uses of big data that are happening every day: 1. Google now studies the timing and location of search-engine queries to predict flu outbreaks and unemployment trends before official government statistics come out. Interesting. 2. Credit… Read More ›
Dave Feinleib, a Forbes Technology contributor, released a new Big Data landscape point of view. While not all encompassing (e.g. missing technologies like Pneuron), it is a great start of making the complicated big data landscape understandable.
Data science is changing the way we look at business, innovation and intuition. It challenges our subconscious decisions, helps us find patterns and empowers us to ask better questions. Hear from thought leaders at the forefront including Growth Science, IBM,… Read More ›