The future of film-making: Data-driven movie-making techniques

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Nadide Gizem Akgülgil Mutlu


Since the term ‘big data’ came to the scene, it has left almost no industry unaffected. Even the art world has taken advantage of the benefits of big data. One of the latest art forms, cinema, eventually started using analytics to predict their audience and their tastes through data mining. In addition to online platforms like Netflix, Amazon Prime and many more, which act on a different basis, the industry itself evolved to a new phase that uses AI in pre-production, production, post-production and distribution phases. This paper researches software, such as Cinelytic, ScriptBook and LargoAI, and their working strategies to understand the role of directors and producers in the age of the digital era in film-making. The research aims to find answers to the capabilities of data-driven movie-making techniques and, accordingly, it makes a number of predictions about the role of human beings in the production of an artwork and analyses the role of the software. The research also investigates the pros and cons of using big data in the film-making industry.


Keywords: Artificial intelligence, cinema, data mining, film-making.


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How to Cite
Akgülgil Mutlu, N. G. (2020). The future of film-making: Data-driven movie-making techniques. Global Journal of Arts Education, 10(2), 167–174.
Design and Arts