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Media verified Verified Outcome TRL 9

AI-Driven Intelligent Catch-Up & Highlights

domain Client: A major US sports broadcaster handshake Provider: Google Cloud (Vertex AI) schedule Deploy: Q4 2022 (Deploy)
84 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

To capitalize on post-game engagement, the broadcaster implemented an AI solution to automate the logging and clipping of millions of hours of sports archives. The system automatically identifies key events (goals, touchdowns, player emotions) to generate 'Catch-Up With Highlights' reels in near real-time, significantly faster than human editors.

rate_review Analyst Verdict

"An effective use of multi-modal AI (video + audio analysis). It solves the 'metadata gap' in media archives, unlocking monetization of dormant assets and speeding up time-to-market for social media clips, a critical metric in sports rights."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Manual logging of sports footage is slow and inconsistent. With thousands of hours of content generated weekly, human editors could not tag every play or emotion rapidly enough to feed social media channels or build personalized highlight reels for users joining games late.

psychology The Solution

The broadcaster utilized Google Cloud's Video Intelligence API and Vertex AI. The system ingests live feeds, analyzes audio (crowd swell, commentator excitement) and visual cues (scoreboard changes, gestures) to auto-tag clips. These tags drive the 'Intelligent Catch-Up' feature on the consumer app.

settings_suggest Technical & Deployment Specs

Integrations
Media Asset Management (MAM)
Deployment Model
SaaS
Data Classification
Public Video Feed
Estimated TCO / ROI
Medium
POC Summary (2020-01-01 to 2020-10-01)

"Pilot during MLB post-season."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Contextual Errors Low Human review for top-tier broadcast; auto-publish for app/social.
Cost of Inference Medium Selective processing of high-value feeds only.

trending_up Impact Trajectory

Audited value realization curve

Ingest and tagging of huge archival library Verified Outcome
Primary KPINear real-time highlight generation (seconds lag)
Audit CycleReduction in manual logging labor

policy Compliance & Gov

  • Standards: Copyright
  • Maturity (TRL): 9
  • Evidence Score: 4/10
  • Data Class: Public Video Feed

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A major US sports broadcaster without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-749
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-749

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