Deep Learning in Storytelling & Content Creation: A Primer

Casey Blustein
22 min readOct 29, 2020

With the recent news of the closing of Regal & Cineworld cinemas, it appears as if the 100 year old cultural tradition and associated business model of feature length storytelling in the cinema is reaching the inevitable conclusion that analysts have been forecasting for a decade now. Audiences will always go to the cinema, but the days of the feature film being the best method creatively and fiscally for creators to craft narratives are over.

Conversation around future of entertainment is generally centered around user generated content, SVOD platforms, cross platform, free to play models and the intrigue of the Metaverse.

In what ways is arguably the most transient technology of our time, deep learning, going to make an impact on the way we play and experience?

The most broad answer to this question is personalization. Deep learning based technologies will help to personalize the stories that are told to us and the ways we experience them.

After learning about and experimenting with these technologies over the past couple of years as part of the Founding Team of Transforms.ai , I want to outline what I have learned from a technical, creative and business opportunity standpoint.

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Casey Blustein

I’m a young professional living in Toronto, running a creative artificial intelligence startup.