AI case study

VerizonLive video production

RF congestion and cloud lag choked live feeds. Edge AI now identifies jockeys and prioritizes bandwidth for active shots instantly.

Published|5 months ago

Key results

Lower Latency
>50%
Hardware Footprint
1 unit

Result highlights

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The story

Context

A live sports broadcaster streams over 70,000 horse races annually from 130 racetracks across three linear television networks.

Challenge

Traditional wireless setups suffered from RF congestion in crowded venues, while cloud alternatives introduced unacceptable latency for real-time...

Solution
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The company

Telecommunications provider of wireless, internet, and television services for consumers.

IndustryMedia
LocationNew York, NY, USA
Employees100K+
Founded1983

The vendor

NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.

IndustryTechnology
LocationSanta Clara, California, United States
Employees10K-50K
Founded1993

The implementation partner

Role in this case study

Used its LiveVision solution to deploy an AI model for real-time object detection on racing footage

IndustryMedia
LocationHilversum, NH, Netherlands
Employees5K-10K
Founded2001

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