PGA TOUR
Shot commentary
Most of the field played in silence — raw data, no story. Now AI narrates every shot with leaderboard position and player history.
- AI commentary for 30,000+ shots per event
- Real-time shot commentary in under 10 seconds
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
One of the most recognized sporting brands in the US, operating a live website that serves as the real-time scoring and storytelling platform for millions of fans across simultaneous tournaments in multiple time zones.
To maintain accuracy during live events, the team ran manual QA checklists covering leaderboards, weather data, region-specific content, and player...
“Completing these specific checklists was manual and very time-consuming. And a lot of it was focused around maintaining what our baseline is.”
Organizer of professional golf tours and live sporting events.
Cloud computing platform and on-demand infrastructure services.
PGA TOUR's Website testing is part of this use case:
Related implementations across industries and use cases
Most of the field played in silence — raw data, no story. Now AI narrates every shot with leaderboard position and player history.
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
14s lags limited AI play to <5%. Cutting latency 4x unlocked real-time tactics, driving AI modes to >60% of total gameplay share.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
One of the most recognized sporting brands in the US, operating a live website that serves as the real-time scoring and storytelling platform for millions of fans across simultaneous tournaments in multiple time zones.
To maintain accuracy during live events, the team ran manual QA checklists covering leaderboards, weather data, region-specific content, and player...
“Completing these specific checklists was manual and very time-consuming. And a lot of it was focused around maintaining what our baseline is.”
Organizer of professional golf tours and live sporting events.
Cloud computing platform and on-demand infrastructure services.
PGA TOUR's Website testing is part of this use case:
Related implementations across industries and use cases
Most of the field played in silence — raw data, no story. Now AI narrates every shot with leaderboard position and player history.
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
14s lags limited AI play to <5%. Cutting latency 4x unlocked real-time tactics, driving AI modes to >60% of total gameplay share.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.