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“In negotiations, you always want to understand what the value of your property is to the other party.” “If you were selling them a title, before it was very difficult to understand: Is that valuable to them or not?” said Cinelytic co-founder and CEO Tobias Queisser. Cinelytic has since expanded its digital insights into what works on streaming platforms, which supply almost no data to anyone outside the companies themselves. signed a deal with AI-project management platform Cinelytic, which crunches numbers to model everything from the value of a particular star to how much a film can make in theaters based on various release dates.

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The pandemic brought newfound urgency for evidence-based insights, leading Paramount to sell “Coming 2 America” to Amazon and “The Trial of the Chicago 7” to Netflix and Disney to send “Mulan” and “Soul” to Disney+. Netflix’s data insights about the overlap between fans of David Fincher, Kevin Spacey, and the BBC miniseries “House of Cards” famously helped deliver the streamer’s first original hit, along with years of critical acclaim. We have, dozens of times, supported and elevated the compensation that our clients get for book deals by bringing them from one industry into the book industry.” “We can supplement that by helping them understand how powerful is audience that they currently have and how difficult or how easy would it be to persuade those people to buy a book by those artists that they follow. “We have these amazing publishing agents who know the industry very well,” he said. Kessler said book deals are one of the most frequent uses of his division’s services. The data and analytics are so useful in brand partnerships that UTA IQ has started training agents working in that field to pull their own data. During the pandemic, UTA IQ started using its technology to identify promising musicians online while venues were closed and is expanding that approach to identify digital influencers and actor/creator talent. UTA culls its data from social media, ecommerce, and search sources, building a picture of how consumers’ behavior could impact business opportunities.

At any given time we’re working on somewhere between 20 and 50 projects at a time … The vast majority of agents in the company rely on us to provide the insights they’re looking for.” “Now we’re part of the mainstream fabric of the agency. Launched in 2017, “when we first started we were kind of the shiny new toy,” he said.

“We have been employed to support those overall deals for our writer clients, our director clients, with the streamers,” said Joseph Kessler, global head of UTA’s data division UTA IQ. When Apple, Amazon, and Netflix are not just tech companies but Hollywood power brokers, approaching a negotiating table without artificial intelligence is bringing a knife to a gun fight. Technology that was once a novelty, or perceived as an existential threat, is now employed by everyone from major talent agencies and studios to independent producers.

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Jumpcut is also using AI to demonstrate that “risky” projects from underrepresented creators and talent have an audience it’s developing a college-set TV comedy series with the popular Facebook group Subtle Asian Traits. Jumpcut is one example of how the industry is turning to data and artificial intelligence to discover talent, identify business opportunities, and navigate a landscape dominated by streamers that keep a tight lid on their own insights. “It shows that the approach works,” Hosanagar said. Hopkins had just sold a spec script to NBC around the time Jumpcut’s technology had identified her as promising talent. “We called her and she said, ‘How did you guys find me, did somebody from NBC send you?,'” Hosanagar recalled.

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New Movies: Release Calendar for July 30, Plus Where to Watch the Latest Films 'Outer Banks' Review: Netflix Teen Soap Adventure Goes Even Bigger in Season 2 It found YouTube shorts created by actor Anna Hopkins, who’s appeared in Freeform’s “Shadowhunters” and “The Expanse” but was unknown - and unrepresented - in the industry as a writer. Hower Professor of Operations, Information and Decisions at the Wharton School, said the algorithm frequently strikes gold. Jumpstart founder Kartik Hosanagar, who holds down a day job as the John C. As a data-driven startup, it leans on machine-learning algorithms to analyze content on YouTube and Reddit - everything from production value to the emotional response of commenters - and spits out a list of prospective content creators. Like every production company, Jumpcut wants to discover new talent.