Insights arrived hours after play; smaller nations had no analysts. Now every coach gets answers in seconds, without a courtside analyst.
The governing body of global tennis, organizing the world's largest annual women's team competition with 140-plus competing nations spanning fully staffed analytics programs to delegations relying entirely on intuition.
Coaches have fewer than 30 seconds between points, but critical match insights historically arrived hours after play ended. This delay compounded a...
“When data's available consistently, it helps you quickly read key percentages and playing patterns (both ours and the opponents') and supports tactical decision-making in a clear, immediate way.”
Global governing body for world tennis and international tournament organizer.
Built a real-time intelligence platform and data ingestion layer for World Tennis's Match Insights app.
Enterprise software, cloud infrastructure, and consumer electronics platform.
International Tennis Federation (ITF)'s Match analytics is part of this use case:
Related implementations across industries and use cases
Rugby match data existed but never reached fans live. AI now turns it into 65+ on-screen insights per game, built and approved by analysts.
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Rugby match data existed but never reached fans live. AI now turns it into 65+ on-screen insights per game, built and approved by analysts.
Manual workflows slowed fight insight to a crawl. AI now delivers storylines on demand, freeing analysts to narrate, not wrangle.
Complex headcount reporting meant tedious manual data slicing. Now, HR uses AI prompts to instantly generate CFO-ready talent insights.
Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Insights arrived hours after play; smaller nations had no analysts. Now every coach gets answers in seconds, without a courtside analyst.
The governing body of global tennis, organizing the world's largest annual women's team competition with 140-plus competing nations spanning fully staffed analytics programs to delegations relying entirely on intuition.
Coaches have fewer than 30 seconds between points, but critical match insights historically arrived hours after play ended. This delay compounded a...
“When data's available consistently, it helps you quickly read key percentages and playing patterns (both ours and the opponents') and supports tactical decision-making in a clear, immediate way.”
Global governing body for world tennis and international tournament organizer.
Built a real-time intelligence platform and data ingestion layer for World Tennis's Match Insights app.
Enterprise software, cloud infrastructure, and consumer electronics platform.
International Tennis Federation (ITF)'s Match analytics is part of this use case:
Related implementations across industries and use cases
Rugby match data existed but never reached fans live. AI now turns it into 65+ on-screen insights per game, built and approved by analysts.
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Rugby match data existed but never reached fans live. AI now turns it into 65+ on-screen insights per game, built and approved by analysts.
Manual workflows slowed fight insight to a crawl. AI now delivers storylines on demand, freeing analysts to narrate, not wrangle.
Complex headcount reporting meant tedious manual data slicing. Now, HR uses AI prompts to instantly generate CFO-ready talent insights.
Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.