From Rookie to All-Star: the NBA’s Domo Journey to AI

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.