Fans tracked picks on static lists. Now, a GenAI assistant answers questions with real-time stats, driving 1M+ engagements.
America's most popular sports league, comprised of 32 franchises, organizes major off-season events like the Scouting Combine and Draft to maintain year-round viewer interest.
Fans relied on static website trackers that only listed results after they occurred, preventing them from accessing the rich, real-time analytics...
“What we lacked was a rich, analytically driven experience where fans could interact with the data themselves—whether that’s understanding player performance or getting a glimpse into their team’s draft strategy.”
National Football League's Fan engagement platform is part of this use case:
Professional American football league and sports media organization.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Offshore conditions blocked live data. Now, wearables stream telemetry to AI, giving commentators instant insights in seconds.
Millions needed guidance during a Super Bowl puzzle event. An AI handled 10K queries per minute, nudging theories without leaking answers.
Cold data streams limited engagement. Now, a secure AI turns live telemetry into friendly conversation in 20+ languages.
Early outputs felt like awkward translations. Now, slang-fluent personas drive a lifestyle AI platform for 6.5M users.
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.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Fans tracked picks on static lists. Now, a GenAI assistant answers questions with real-time stats, driving 1M+ engagements.
America's most popular sports league, comprised of 32 franchises, organizes major off-season events like the Scouting Combine and Draft to maintain year-round viewer interest.
Fans relied on static website trackers that only listed results after they occurred, preventing them from accessing the rich, real-time analytics...
“What we lacked was a rich, analytically driven experience where fans could interact with the data themselves—whether that’s understanding player performance or getting a glimpse into their team’s draft strategy.”
National Football League's Fan engagement platform is part of this use case:
Professional American football league and sports media organization.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Offshore conditions blocked live data. Now, wearables stream telemetry to AI, giving commentators instant insights in seconds.
Millions needed guidance during a Super Bowl puzzle event. An AI handled 10K queries per minute, nudging theories without leaking answers.
Cold data streams limited engagement. Now, a secure AI turns live telemetry into friendly conversation in 20+ languages.
Early outputs felt like awkward translations. Now, slang-fluent personas drive a lifestyle AI platform for 6.5M users.
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.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.