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What:  A half-day forum about how content recognition, speech to text, natural language processing, machine and deep learning and AI are poised to impact content creation. There’ll be tech and content demos, panels, presentations and 360-degree discussion about: What are the new machine intelligence powered technologies and tools for content creation and how can we improve them? What repetitive and time-consuming tasks will they eliminate, and how can they bolster the creative process? What challenges will we face integrating machine intelligence into workflows and how can we ameliorate them? How will machine intelligence alter job descriptions, staffing and crewing and how can the industry get ready for the transition? What new forms of content will machine intelligence enable? Join us as we cross into the next smart age in filmmaking.

Speakers:  Jovan Popovic, Sr. Principal Scientist, Adobe Research; Usman Shakeel, Worldwide Technology Leader, M & E, Amazon Web Services; Daniel De la Rosa, Director, Film Production Technologies, Universal Pictures; Mark Raudonis, SVP Post Production, Bunim Murray; Jason Brahms, Managing Partner & CEO, Video Gorillas; Jean Bolot, VP, Research and Innovation, Technicolor Research Center; Amit Pande, Project Management Lead, Google Cloud; Dr. Bart Andrew Kosko, PhD, JD, Professor, Department of Electrical Engineering and Professor of Engineering and Law, USC Gould School of Law, and more.

Target Audience: Film and TV studio, mini-studio, network, OTT executives and technologists working in production and post; editorial, visual effects and postproduction facility executives and technologists; leading filmmakers working on set, and in editorial, visual effects and post; executives and technologists at hardware and software companies.

Attendance:   Invitation-only; fee free. Closed door, safe harbor, no media.  Contact Rochelle Winters,, if you would like to attend. Space is limited and attendance is on a first come, first served basis.

When: September 27, 2017, 12pm – 5:30pm, Downtown LA



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VR/AR Initiative

Philip Lelyveld, ETC AR/VR project director


Data & Analytics Project

The Storytelling Cipher: Mapping Precise Story and Character Mechanics to Box Office Returns

Our Data & Analytics Project held “The Storytelling Cipher: Mapping Stories & Characters to Box Office Revenue” Tuesday, December 6, 2016 at the USC School of Cinematic Arts.

This study leverages the Dramatic taxonomy of film narrative to infer which scene-level character and story attributes generate more box office returns, by genre. We are extending this study to ads and movie trailers.

The project researchers used machine learning to map 70+ story attributes for 300 films to their box office returns to extract which story mechanics or character features in film generated the most revenue. This was the first time granular story and character mechanics have been used to predict box office returns, which opens up many avenues to make more data-driven creative and development decisions throughout the industry.

What’s a good story? The question has been hanging without a scientific answer since the dawn of man. It seems that a story’s lack of clear mathematical structure and universal taxonomy would relegate such classification of stories to the qualitative – and highly subjective- empire of critics and … people.

Until now.

The event presented results from the research, discussed applications for the development and creative process, and outlined next steps.

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