Stuck in a stadium concession line when your team scores? The University of Alabama is using @TheWaitTimes' AI on Intel Xeon CPUs to monitor crowd flow in real time.

Processing data locally at the edge provides secure, instant analytics, enabling the stadium to shift staff, nd get fans back to their seats faster so they don’t miss a minute of the action.

Learn more: ms.spr.ly/6015avYPW

Oct 20, 2026 · 1:25 PM UTC

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Replying to @intel
@intel AI isn’t coming. It’s LIVE.

@TheWaitTimes × @intel × @UA_Athletics.

Real-time crowd intelligence. Real-world operations. Massive scale.

From movement → intelligence → action.

This is what ethical production #AI looks like.
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Replying to @TheWaitTimes
@TheWaitTimes Safer, smarter public spaces enable faster decisions and a more seamless fan experience. Grateful for our partnership with @TheWaitTimes and the impact we've built together through real-time AI at the edge!
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Replying to @intel
@intel @TheWaitTimes THIS is ethical & anonymous #AI in the real world.

@intel saw the vision. @UA_Athletics put it into action. @TheWaitTimes brought the intelligence.

Live. At scale. Creating real operational impact.

We’re just getting started..

#WaitTime #AlabamaWaitTime #SEC @SEC
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Replying to @ZackKlima
@ZackKlima @TheWaitTimes continues to deliver the best in edge AI, computer vision, and real-time operational intelligence, all for the benefit of fans. Thanks for an incredible partnership! 🏈
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Replying to @intel
@intel @TheWaitTimes Does it also tell you which line is shortest?
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Replying to @intel
@intel @TheWaitTimes finally an ai use case that actually matters to humanity
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Replying to @intel
@intel @TheWaitTimes 边缘侧本地处理才是关键:体育场这种高并发场景,上云的延迟和隐私合规都是硬伤。Xeon跑视觉推理的性价比常被低估,想问下这套系统的误报率控制在什么水平?
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Think like no one is watching

Venice AI
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Replying to @intel
@intel @TheWaitTimes $INTC STRONG BUY LONG 📊✝️
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Replying to @intel
@intel @TheWaitTimes 直接在本地边缘端跑视觉分析确实比传云端省带宽,响应也更快,这种实用型落地挺舒服的。
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