Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
A global sports organization serving over 1.8 billion fans across 189 countries, managing an extensive archive of 30 seasons of match data, 300,000 articles, and 9,000 videos.
Decades of historical and real-time data were scattered across longstanding systems and partner platforms, forcing the organization to deliver the...
“We know that personalization has become increasingly important to Premier League fans with their interests more varied than ever before. Now, we are able to create personalized digital experiences which put each fan in control of the clubs, players, matches, and stories most relevant to them.”
Premier League's Content discovery is part of this use case:
Professional football league and governing body for the English top flight.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Editors relied on memory to analyze live fights. Now, AI agents mine history instantly, fueling broadcasts with deep, real-time context.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
Stats were trapped in dropdown menus. Now, AI unifies live data to answer complex questions instantly—no searching required.
Stats were trapped in dropdown menus. Now, AI unifies live data to answer complex questions instantly—no searching required.
Trainers manually analyzed scattered sleep and diet logs. AI now unifies the data to trigger instant coaching insights.
Fans faced anxiety tracking high-stakes tickets across systems. Now, integrated AI instantly pulls order details, eliminating queues.
Designers relied on static mocks and engineering queues. Now they build live apps directly, shrinking 6-month cycles to 8 weeks.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
Filming technical demos in-studio slowed market entry. Marketers now use AI to generate multilingual videos without dubbing or reshoots.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
A global sports organization serving over 1.8 billion fans across 189 countries, managing an extensive archive of 30 seasons of match data, 300,000 articles, and 9,000 videos.
Decades of historical and real-time data were scattered across longstanding systems and partner platforms, forcing the organization to deliver the...
“We know that personalization has become increasingly important to Premier League fans with their interests more varied than ever before. Now, we are able to create personalized digital experiences which put each fan in control of the clubs, players, matches, and stories most relevant to them.”
Premier League's Content discovery is part of this use case:
Professional football league and governing body for the English top flight.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Editors relied on memory to analyze live fights. Now, AI agents mine history instantly, fueling broadcasts with deep, real-time context.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
Stats were trapped in dropdown menus. Now, AI unifies live data to answer complex questions instantly—no searching required.
Stats were trapped in dropdown menus. Now, AI unifies live data to answer complex questions instantly—no searching required.
Trainers manually analyzed scattered sleep and diet logs. AI now unifies the data to trigger instant coaching insights.
Fans faced anxiety tracking high-stakes tickets across systems. Now, integrated AI instantly pulls order details, eliminating queues.
Designers relied on static mocks and engineering queues. Now they build live apps directly, shrinking 6-month cycles to 8 weeks.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
Filming technical demos in-studio slowed market entry. Marketers now use AI to generate multilingual videos without dubbing or reshoots.