20th Century Fox has developed a machine learning model called Merlin Video, which utilizes film trailer data to predict which movies a potential viewer is likely to watch based on their past viewing habits and demographic information. The model primarily relies on convolutional neural networks (CNNs) for analyzing movie trailers frame by frame, integrating the pacing and timing of sequences to differentiate between various film genres and styles. Additionally, it employs collaborative filtering techniques to compare user preferences and employs logistic regression for final predictions. Training the model on the extensive YouTube8M dataset, Fox's team tested Merlin on the movie "Logan," where it successfully identified the top films viewers of "Logan" were likely to watch, demonstrating the model's potential to revolutionize decision-making in the entertainment industry.