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cover of episode Democratizing Data in Hollywood: Jumpcut’s Kartik Hosanagar

Democratizing Data in Hollywood: Jumpcut’s Kartik Hosanagar

2021/10/19
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Me, Myself, and AI

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Sam Ransbotham
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Kartik Hosanagar:Jumpcut旨在利用数据驱动的方法,提升新人新作的机会,使好莱坞更加民主化。传统好莱坞决策方式存在经济、社会和观众体验等多方面的成本,Jumpcut试图通过数据分析来改进决策过程,降低风险,提升效率。Jumpcut通过三个步骤来实现其目标:发现故事和创作者、降低风险、利用数据改进创意决策。Jumpcut利用算法在YouTube、Reddit等平台上发现新的故事和创作者,而非依赖传统的代理人系统。Jumpcut的算法分析YouTube等平台上的内容,寻找具有高制作价值、强故事性和良好观众反响的短片和创作者。Jumpcut利用数据分析来降低风险,结合历史数据和A/B测试来预测观众的喜好,并改进创意决策。Jumpcut通过A/B测试等方法对故事进行测试,帮助创作者改进创意,并为其提供数据支持。Jumpcut的目标是将数据作为一种工具,辅助人类的创意决策,而非完全取代人类。 Sam Ransbotham:好莱坞是最后一个依靠判断力进行决策的行业堡垒,Jumpcut的尝试具有开创性意义。Netflix等流媒体平台的数据驱动模式正在推动好莱坞行业向数据驱动转型,Jumpcut的模式与Moneyball类似,但更侧重于扩大搜索空间,发现更多潜在的优秀故事和创作者。 Shervin Khodabandeh:Jumpcut的尝试具有重要意义,因为它结合了数据分析和创意,为好莱坞的未来发展提供了新的方向。算法已经影响了人们的内容消费方式,但内容创作方面仍未发生显著变化,Jumpcut旨在改变这一现状。成功的数据驱动决策需要将数据理解与创造性视角相结合。数据驱动的方法可以帮助克服人类判断中的偏差,提高决策效率。

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Karthik Hossanagar discusses the founding of JumpCut, a startup aiming to democratize Hollywood by using data to make more objective decisions in film and TV development, thereby elevating fresh voices and stories.

Shownotes Transcript

Kartik Hosanagar wasn’t your typical Hollywood hopeful. He didn’t pack his life into a sedan, drive to Los Angeles, and work a series of part-time jobs while trying to make it big in the film industry. Kartik is a professor of business and marketing at the University of Pennsylvania’s Wharton School who penned a screenplay while on sabbatical. When he started pitching it to potential producers, he quickly discovered that the film industry can be hesitant to take risks on new writers and directors — which often means that diverse talent is overlooked. So, to help unknown talent to break into the entertainment industry, he got to work founding Jumpcut, a venture-funded startup that aims to uncover new voices.

In the first episode of Season 3 of Me, Myself, and AI, our hosts talk with Kartik about how Jumpcut uses AI to identify creative individuals and help them develop their ideas into studio-ready productions. Read the episode transcript here).

Me, Myself, and AI is a collaborative podcast from* MIT Sloan Management Review *and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.

Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders.)

Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast). 

Guest bio:

Kartik Hosanagar is the John C. Hower Professor of Technology and Digital Business and a professor of marketing at The Wharton School of the University of Pennsylvania. His research focuses on the digital economy and the impact of analytics and algorithms on consumers and society.

Hosanagar is a 10-time recipient of MBA or undergraduate teaching excellence awards at The Wharton School. He is a serial entrepreneur who most recently founded Jumpcut Media), a startup that is using data to democratize opportunities in film and TV. Hosanagar has served as a department editor at the journal Management Science and has previously served as a senior editor at the journals Information Systems Research and MIS Quarterly.

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