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2013 Oscar® Winners Forecasted with Farsite's Predictive Model
Farsite, a leading data science firm, is using its expertise in predictive modeling and the entertainment industry to predict winners of the 85th Annual Academy Awards®.
Lincoln leads top categories based on first-of-its-
COLUMBUS, Ohio, Jan. 10, 2013 -- The 85th Annual Academy Award® winners have been predicted using a proprietary data science model from Farsite, a data science firm. Predictions include Lincoln for Best Film, Daniel Day-Lewis of Lincoln for Best Actor and Jennifer Lawrence of Silver Linings Playbook for Best Actress. These categories, along with Best Director, Best Supporting Actor and Best Supporting Actress are showcased at http://www.FarsiteForecast.com. The probabilities of winning will be updated daily to account for new information such as Guild wins.
"Last year, 40 million people watched the Oscars," said Conor Gaughan , chief strategy officer of Farsite. "Given the size and cultural prominence of the entertainment industry, it is fun and relevant to apply data science to the Academy Awards and explore how the discipline can empower the media industry more broadly. This year Hollywood box office sales were over $10.8 billion. This is a huge sector where data science can help play a prominent role in growth."
To arrive at this first-of-its-
For model updates, daily data insights and regular commentary, visit http://www.FarsiteForecast.com and follow http://www.Twitter.com/
Farsite is a data science firm that specializes in helping companies use predictive and advanced analytics to empower smart business decisions, solve their toughest challenges and gain a distinctive competitive advantage. For more information visit www.FarsiteGroup.com.
Editor’s note: Oscar®, Oscars®, Oscar Night®, ©A.M.P.A.S.®