Defining Data Science Trends For 2016

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The data science industry generated many headlines this year, from the U.S. Department of Commerce hiring its first chief data scientist to the National Science Foundation launching four regional data science brain trusts. But now that 2015 is winding down, it’s time to figure out where this buzzworthy industry is headed. Here are some projections of the primary trends of data science for the coming year Continue reading

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Using Analytics for Detection of Earthquakes and Intensity Forecasting

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We know the quakes are coming. We just don’t know how to tell enough people early enough to avoid the catastrophe ahead. Around the world more than 13,000 people are killed each year by earthquakes, and almost 5 million have their lives affected by injury or loss of property. Add to that $12 billion a year in economic losses to the global economy (the average annual toll between 1980 and 2008). Understandably for some time scientists have been asking if earthquakes can be predicted more accurately. Continue reading

Towards Personalized Medicine- Leveraging Patient Similarity and Drug Similarity Analytics

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In contrast to the one-size-fits-all medicine, personalized medicine aims to tailor treatment to the individual characteristics of each patient. This requires the ability to classify patients into subgroups with predictable response to a specific treatment. Continue reading

Investment Analytics for VCs and PE Firms

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In the venture capital world, it’s all about the “hits.” A hit is a startup that makes it big, returning many multiples of a venture fund’s initial investment. Hits are great for everyone—investors, entrepreneurs, job seekers—but the problem is they don’t happen very often. The  odds of a big hit are about one in 10. Continue reading