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Sports Media Company Integrating Cloud AI with Legacy MAM

Company Situation

The company operates within the sports media industry, managing video content across multiple sites including an arena and a separate editing location. Their team is responsible for capturing, storing, and editing large volumes of sports footage, with a particular focus on tagging and indexing game-related events such as goals, player names, and jersey numbers. The setup involves managing content across two physical storage pools with workflows that span both on-premises and remote environments.

Existing Workflow

Currently, the company uses shared storage combined with a legacy media asset management (MAM) system that does not include AI capabilities. Their infrastructure involves running two separate databases at different sites, which requires manual syncing of material and metadata between those locations. Tagging performed on one site does not automatically reflect on the other due to the absence of unique file IDs across the two databases, complicating search and retrieval across the organization.

Issues with the Existing Workflow

Duplication of databases and manual syncing creates inefficiencies and risks inconsistent metadata. Lack of AI integration limits automation in tagging and indexing, increasing manual labor. The fragmented storage and MAM architecture makes it difficult for users to access and tag content seamlessly from any location. Budgeting and cost predictability are challenging with cloud AI services that charge per usage minute, which is a concern for organizations needing to process large volumes of content continuously. Security concerns and preferences for on-premises processing restrict the use of some cloud AI solutions.

How Shade Would Change Their Workflow

Shade offers a unified solution that consolidates the two storage pools under a single centralized MAM. This architecture enables content and metadata to be tagged once and accessed seamlessly from any location, eliminating the need for manual syncing. Shade’s platform integrates AI-powered tagging tailored for sports media, automatically recognizing events such as goals and player information, streamlining the cataloging process. The solution supports on-premises deployment, addressing security concerns and enabling predictable budgeting with a straightforward licensing model rather than pay-per-use charges.

Benefits

  • Centralized media asset management with unified metadata across multiple sites
  • AI-enhanced tagging tailored to sports content, reducing manual labor and improving search accuracy
  • Seamless mounting and access to media from any location without duplication or sync issues
  • On-premises deployment option for enhanced security and control
  • Predictable cost structure supporting large-scale, continuous media processing
  • Ability to integrate with existing workflows and planned headless API capabilities for future expansion