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Artificial intelligence assists humans to resolve the far-reaching problems of our time. One of the most critical questions top of mind right now is this: Who will survive the Game of Thrones? AI can predict a lot of things and, apparently, AI predicts who survives Game of Thrones. Read on, I’m not spilling secrets.
Business Insider reports students at the Technical University of Munich have developed an AI -powered application to predict which character has the most realistic chance to sit on the Iron Throne in the HBO hit series. The application scours the web for information on each Game of Thrones character, which is then processed by artificial intelligence algorithms to assess their survival chances.
In case you think we’re overstating the interest about the outcome of a TV series, take a look at the whole story.
As HBO’s TV series phenomenon embarks on its final season, worldwide obsession surrounding the show has swelled to new heights. Last night, the first Game of Thrones episode in 20 months, the premiere for the final season aired, with media analysts predicting a record-breaking audience, possibly hitting the 20 million mark. The 2017 season seven premiere episode attracted 10 million viewers in overnight linear ratings, and 30 million* U.S. viewers counting delayed viewings across all platforms. Season 7 was illegally downloaded more than one billion times. I can only imagine what last night’s episode garnered in terms of illegal downloads.
AI isn’t the only thing taking center stage when it comes to talking about Game of Thrones. Brands are capitalizing on the excitement with GOT themed whiskey, beer, and Oreo cookies. Adidas created a new line of sneakers, with six different styles to represent the houses of Westeros in sneaker form.
While the question of who sits on the Iron Throne might not be as significant as climate change, or solving important problems with technology, millions even billions are speculating on the topic.
There’s a reasonable chance that the Technical University of Munich students’ prediction about the Iron Throne will be accurate. According to student Christian Dallago:
“We scraped the results from different Wiki pages and Wiki-like pages about the books and TV show and we took out data like gender and age of the characters. We put all this together to train the algorithm to tell us when this character is going to die.”
Note that in 2016, an algorithm created by students at the same university accurately predicted that main character Jon Snow would come back from the dead, so it stands to reason that they might have gotten this right, too.
What about you? Want to know what the AI prediction is for the winner of the Iron Throne? Sorry, but you’re out of luck. I’m a fan, I loathe spoilers, and I’m not going to ruin my fun (or yours) by looking at—or sharing—the AI predictions. But hey, if you want to find out, I’m sure you can figure out how to get to that information.
Futurum Research provides industry research and analysis. These columns are for educational purposes only and should not be considered in any way investment advice.
Other articles of interest:
Machine Learning Already Changing the Entertainment Industry
Top 4 Digital Transformation Trends in Media and Entertainment 2019
Author Information
Shelly Kramer is a Principal Analyst and Founding Partner at Futurum Research. A serial entrepreneur with a technology centric focus, she has worked alongside some of the world’s largest brands to embrace disruption and spur innovation, understand and address the realities of the connected customer, and help navigate the process of digital transformation. She brings 20 years' experience as a brand strategist to her work at Futurum, and has deep experience helping global companies with marketing challenges, GTM strategies, messaging development, and driving strategy and digital transformation for B2B brands across multiple verticals. Shelly's coverage areas include Collaboration/CX/SaaS, platforms, ESG, and Cybersecurity, as well as topics and trends related to the Future of Work, the transformation of the workplace and how people and technology are driving that transformation. A transplanted New Yorker, she has learned to love life in the Midwest, and has firsthand experience that some of the most innovative minds and most successful companies in the world also happen to live in “flyover country.”
