Hai risparmiato centinaia di ore di processi manuali per la previsione del numero di visualizzazioni del gioco utilizzando il motore di flusso di dati automatizzato di Domo.
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From Rookie to All-Star: the NBA’s Domo Journey to AI
Friday, February 21, 2025
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Video transcript
The NBA has increasingly used Domo over the past eight years, beginning as a tool for visualization and reporting. Fast-forward to today, and the NBA is using AI features in Magic ETL to systematically and dynamically estimate viewership of games in order to optimize viewership opportunities, all while keeping a human in the loop. By layering a what-if analyzer approach on top of AI predictions, Domo’s all-inclusive platform allows the internal NBA teams to quickly make adjustments to streaming assignments, allowing for yet another layer of AI-informed, human-approved decision-making.
- Domo has solutions for any level of business requirement, from general data organizing to sophisticated ML.
- You don’t need to be a data scientist or have an advanced degree in mathematics to use Domo’s AI tools, but you do need good quality data.
- Domo offers speed, reliability, and the option for human involvement in AI pipelines, all of which are essential for data-driven decision-making.
Speakers
Jon Berkowsky
Director, Global Media Insights
Jon Berkowsky
Director, Global Media Insights
National Basketball Association
Jon Berkowsky has made a career in media research, with the last eight years working at the NBA on the Global Media Insights team.
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