Predictive Analytics

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Predictive analytics applies statistical algorithms to prescribe (recommend) actions based on patterns in data that predict the behavior of customers, products, services, markets and other business outcomes.


NewsDeveloped by a Princeton-led research team, the method called the influence score (I-score) was found to improve the prediction rate in real-world disease data.
BlogDid you know that our team sports four agenda? Each one has its own “landing page” where you, as a Gartner seat-holder get content targeted to your role and focus.
BlogThe fundamental problem is a mismatch in expectations. As an industry we should not generally expect groundbreaking innovations from the largest software companies.
The growth in data analytics and governance is leading to an increase in the workers that manage and master it all. The result will be a new level of ‘data literacy’ in 2017. Here are 10 reasons why.
Great advances are being made with machine learning and artificial intelligence, but nothing compared to what the next quarter century has in store. Jeremy Achin, data scientist and CEO of DataRobot shares his thoughts on what we can expect.
FeatureIn a contest starting Thursday at noon, Kaggle’s quants will have three months to create a predictive trading model from four gigabytes of financial data provided by Two Sigma.
FeatureGartner surveyed 180 professionals in the role of chief data officer or chief analytics officer to learn more about their responsibilities, background, and tenure in the role.
IT budgets are expected to be flat for 2017, but organizations will find money to increase IT salaries. According to the new IT salary study by Robert Half Technology, the "2017 Salary Guide for Technology Professionals," these are expected to be the top paying IT jobs in 2017.
FeatureWhile social scientists weren’t equipped to see a Trump win coming, they have started to test theories of voting behavior that could shed light on why it happened.
Capgemini Senior Data Scientist Dave da Silva dicsusses the reasons why big data and data analytics seem to have abandoned ethics, and what can be done to correct the situation.
FeatureBy combining real-world data on populations, human mobility and climate with elaborate stochastic models of disease transmission, a team of 14 researchers has devised projections for the number of Zika cases.
FeatureCustomers come to rely on brands known for taking security seriously and conversely, are less likely to trust brands that have had known security breaches.
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