A New Creative Stack: How AI Is Reshaping Content - #NYTechWeek
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◕‿↼From AI-generated music to film, shorts, and digital storytelling, the creative stack is being rebuilt in real time. We will screen and discuss AI-driven projects and explore tools, new workflows, and lessons learned while building in a new AI creative economy. Followed by a networking mixer
AI Projects to be screened by:
Danny Ratcliff, a creative operations executive with two decades of experience transforming digital media operations, leveraging emerging creative/ops tech. He spent 5 years as Director of Post Production at Hearst, was Head of Studio at Amazon for their AI powered Virtual Product Placement team before moving to VP of Creative Operations at Mirriad, using computer vision to identify product placement opportunities. He is an Award-winning AI filmmaker with his films “Constant” and “Goodbye” in official selection at 20+ international festivals and was most recently an Honoree at the 2026 Webby’s for Best use of AI in Film.
Khushi Hora, a filmmaker and creative technologist whose work blends surrealist visual language with emotionally resonant narratives, spanning screenwriting, directing, 3D animation, creative coding, and AI-driven production workflows.
She is a co-author on a CVPR 2025 paper surveying generative AI across 193 films and 175+ filmmakers, and has guest lectured at Columbia University on AI storytelling workflows. She currently works at a stealth AI startup focused on creative production, spanning competitive intelligence, UX research, and filmmaker community building.
Nora Savosnick, a Norwegian photojournalist covering humanitarian crises, conflict, and U.S. politics. She is the co-founder of Show Your Work Lab, an open-source nonprofit developing tools for image provenance, transparency, and C2PA-based verification. She received the Reuters Scholarship for Visual Journalism at the International Center of Photography in 2018 and gave a TEDx talk on image authenticity in 2023. Her photography has been published by The New York Times, Reuters, Aftenposten, NRK, and others.
Jami Mulgrave, Ph.D., is a data scientist at Meta with over six years of experience in tech spanning people data, marketing, product, and ranking products. She is the founder of the "Learning Data Structures and Algorithms with Music" Substack with over 1200 subscribers, in which she writes about computer science problems and applications to music.
This event is a part of #NYTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
Guest List
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