5/16/2023 0 Comments Merlin project predictions 2018![]() A high churn rate indicates that a company is doing something wrong, and when combined with machine learning, big data can help companies identify problem areas.Īmong streaming services, the user interface plays an important role in viewer retention. With a seemingly endless array of movies and television shows for users to choose from, retaining viewers is of paramount importance to streaming services and film production companies. In the entertainment industry, big data can be used to provide a personalized user experience and reduce churn rates among streaming site audiences. Big data is often externally sourced, using information drawn from the internet, public data sources, and more to make more accurate predictions. When big data first hit the scene around 2010, it effectively changed the methods used to turn data analytics into useful insight and profit. As AI is designed to focus on a single task, it’s an ideal starting point in improving the accuracy of data analysis within programs. For programmers to better concentrate on improving AI algorithms, future software development must include time-saving measures designed to reduce time spent on menial tasks. ![]() While its data interpretation wasn’t perfect, Merlin is a prime example of the evolution of software development over the last decade. Generally, the audience was looking for a superhero movie that featured a “rugged male action lead.” Superman: Dawn of Justice and Suicide Squad. The top five actual movies were all in the predicted list: X-Men: Apocalypse John Wick: Chapter 2 Doctor Strange Batman v. Data collected in the process is used to compare trailers and predict what other films might interest those who watched a particular trailer.Ģ0th Century Fox used Google servers and the open-source AI framework TensorFlow to create Merlin, an “experimental movie attendance prediction and recommendation system.” In Merlin’s trial run, the tool analyzed the trailer of “Logan,” an origin story of the superhero Wolverine, to predict other movies that “Logan” viewers might be interested in. In 2018, 20th Century Fox, which was acquired by the Walt Disney Company this year, released a paper outlining how it analyzes the content of movie trailers using machine learning. Predicting what audiences want from a film almost guarantees that film’s success. Using technology, we can predict customer preferences and determine how to optimize content to reach its maximum potential. From casting decisions to even the colors used in marketing, every facet of a movie can affect sales. Technology can inform filmmakers how they should produce and market any given movie. Further, production companies will continue to use the technology to better understand individual viewing habits and preferences to create content that appeals to the masses. Society’s fascination with the implications of data science indicates that more films on the subject are sure to come. The stories of real-life innovators such as Alan Turing and John Nash have been turned into major films in recent years, living alongside fictionalized tales that use predictive analysis, machine learning, and AI as central plot themes. The field of data science also pops up as meaty subject matter in a variety of films.
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