New Way Now: MLB knocks fan experience out of the park with Google Cloud
17๐ฆ๐๐บ๐บ๐ฎ๐ฟ๐: Rob Engel, vice president of software engineering at Major League Baseball (MLB), shares how Google Cloud helped the professional sports league tap into AI to deliver data-driven game and fan experiences. With Google Cloud, MLBโข is transforming its trove of ballpark data into homerun-worthy stories that bring the live action on the field to life for fans, teams, and broadcast partners.
๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ: How can MLB uncover the best insights from the data captured with Statcast โ its state-of-the-art baseball metrics tracking system โ and share these exciting stories as they happen on the field?
๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป: Using Vertex AI and Gemini, MLB can compare live plays with its massive Statcast dataset in real time and find fresh insights โ from record-breaking home run hits to perfect pitches and new streaks. MLB also delivers data from every game directly into BigQuery, enabling all 30 teams in the league to access it and build AI models that help them study their players, make roster decisions, and improve team performance.
๐ฅ๐ฒ๐๐๐น๐๐: Now, MLB can find the most thrilling moments and stats happening during games to share with content teams, sports broadcasters, and fans in real time.
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๐๐ถ๐ด๐ต๐น๐ถ๐ด๐ต๐๐ ๐ฎ๐ป๐ฑ ๐๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐๐ ๐ณ๐ฟ๐ผ๐บ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐น๐ผ๐๐ฑโ๐ ๐ถ๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ถ๐๐ต ๐ฅ๐ผ๐ฏ ๐๐ป๐ด๐ฒ๐น, ๐ฉ๐ฃ ๐ผ๐ณ ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐ฎ๐ ๐ ๐๐:
โ โGoogle Cloud helps us with BigTable, with Kubernetes Engine, really scale Statcast out to the masses. It's almost limitless in terms of the data volume and then really low latency delivery to our fans. And weโve been able to leverage AI along with this to really dive into all this data.โ
โ โWeโre experimenting with Vertex AI and Gemini to really go through all the data. A play just happened โ letโs compare it to the entire corpus of data in history and tell us exactly whatโs interesting. Things that take many hours for some humans to go through and figure out these stories, we can now use AI to understand what happens in real time and give this information to our own content team, to broadcasters.โ
โ โUsing BigQuery, weโre actually able to take the data after the game and then refine our algorithms so that from the next game we have more data trained over the course of time. Itโs really unlocking new ways to study the game, not only for the fans but also for our 30 clubs.โ
โ โGoogle Cloud has really helped out bridging the gap of how we share data with all 30 of our clubs. Theyโre also able to give us insights to the roadmaps, and when we have questions or feature requests, it really seems like that's being taken into account. We really feel like our voice is being heard, and weโre seeing the results that we want in our partnership.โ
โ โUsing Google Cloud, MLB is building the next way to tell new stories and uncover things weโve never been able to in the past.โ
Google Cloud products used: Vertex AI, Gemini, BigQuery, BigTable, Google Kubernetes Engine MLB
Major League Baseball trademarks and copyrights are used with permission of Major League Baseball. Visit MLB.com
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๐๐ฒ๐ฎ๐ฟ๐ป ๐บ๐ผ๐ฟ๐ฒ:
MLB + Google Cloud: Itโs a whole new ballgame with AI โ https://www.youtube.com/watch?v=GyhePhxSeaw
Discover the new way to cloud โ https://goo.gle/40vj4Ku
Why Google Cloud โ https://goo.gle/3sraSOG
Explore more digital transformation stories โ https://goo.gle/3ssTg52