AI BASEBALL PROJECT 'ZUNO'

TitleAI BASEBALL PROJECT 'ZUNO'
BrandJAPAN BROADCASTING CORPORATION
Product / ServiceBASEBALL COMMENTARY AI
CategoryB11. Use of Technology
EntrantDENTSU INC. Tokyo, JAPAN
Idea Creation DENTSU INC. Tokyo, JAPAN
Media Placement DENTSU INC. Tokyo, JAPAN
Production DATA STADIUM Tokyo, JAPAN
Production 2 QOSMO Tokyo, JAPAN
Production 3 TWOTONE Tokyo, JAPAN
Production 4 AIRCORD Tokyo, JAPAN
Production 5 TAKI CORPORATION Tokyo, JAPAN
Additional Company JAPAN BROADCASTING CORPORATION Tokyo, JAPAN
Additional Company 2 DENTSU TEC Tokyo, JAPAN
Additional Company 3 BEARD INC. Tokyo, JAPAN
Additional Company 4 TYO MONSTER Tokyo, JAPAN

Credits

Name Company Position
Naoki Tanaka Dentsu Lab Tokyo / DENTSU INC. Creative Director
Kaoru Sugano Dentsu Lab Tokyo / DENTSU INC. Creative Technologist
Moe Goto Dentsu Lab Tokyo / DENTSU INC. Copywriter / Planner
Yuki Otsu DENTSU INC. Copywriter / Planner
Kohei Ai Dentsu Lab Tokyo / Dentsu Tec Inc. Producer
Yuji Yoshida Dentsu Tec Inc. Producer
Kenichiro Takase Data Stadium Inc. Producer
Hiroyuki Nagamatsu Data Stadium Inc. Coordinator
Kei Kanazawa Data Stadium Inc. Executive Analyst
Kyohei Okawa Data Stadium Inc. Analyst
Sagiri Uehara Data Stadium Inc. Analyst
Nao Tokui Qosmo Inc. Technical Director
Koki Yamada Freelance Data Analyst / Back-end Engineer
Shoya Dozono Qosmo Inc. Programmer
Ryuta Modeki TWOTONE Inc. Art Director
Yuri Matsumura TWOTONE Inc. Designer
Ken Hirose TWOTONE Inc. Designer
Miyu Hosoi Qosmo Inc. Project Manager
Shintaro Murakami DENTSU INC. Creative Technologist
Ryo Suetomi Dentsu Lab Tokyo / DENTSU INC. Planner
Kentaro Mito Freelance Front-end Engineer
Yusuke Koyanagi DENTSU INC. Art Director
Toshiyuki Hashimoto aircord Inc. Technical Producer / Director
Seiya Nakano aircord Inc. Device Engineer
Yumi Fukuyoshi TAKI corporation Designer
Yasuhide Kobayashi Beard Art Director
Yota Mizozoe TYO MONSTER Producer

The Campaign

We developed a powerful predictive AI that learned from over 3 million pitches in at bat data to compete with viewers. Baseball fans live to put out theories about pitching. They may say, "The next pitch will be a curve on the outside part of the plate to induce a double play," or maybe, "He's just gonna challenge him with a fastball." The AI makes its own predictions so fans can compete with it to see who's more accurate.

Creative Execution

We used the results from our earlier challenge to open an online platform available to any baseball fan on the day of Game 2 of the Japan Series, the championship series to determine the best baseball team in Japan. We asked them to join a contest against our AI. There have been many experiments pitting humans against AI like AlphaGo, Chess, Quiz and so on, but this was significant because it was a platform where all pro baseball fans could go up against an AI.

This content naturally boosted coverage in social media and the press, but also created the first new way to enjoy live baseball in over 50 years. This gives people other than just fans of the teams facing off in a game to watch a baseball game on TV.

Zuno, the AI baseball project, is an attempt to find new ways of enjoying live professional baseball broadcasts that have become stale. It lets people watching a game get involved, thereby transforming a passive media viewing experience into interactive content.

Insights, Strategy and the Idea

We made a pitch-predicting AI and laid down a challenge to all professional baseball fans. We started with an experiement to get attention. We asked who would be more accurate: a former MLB pitcher, a passionate fan of a team, or AI? We enticed the public with this question. The AI won the challenge by a slim margin.

Links

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