AI content delivery and how sponsors benefit

AI based image recognition now enables fast and efficient delivery of personalised content at scale. Sports organisations increasingly use these technologies to provide sponsors with tailored content. This strengthens sponsor activation and can increase willingness to invest over the medium and long term.

From a sponsor perspective, up to date imagery is particularly valuable when it shows the sponsor’s logo with athletes in action, ideally from events with high media attention.

Sponsors can also evaluate more precisely in which situations their logos and claims become visible:

• during the competitions themselves

• during related events and side activities

In addition to logos, AI based image recognition can identify specific products. This can be a particular sports shoe or a specific sports drink. The underlying models can be trained for any object that can be defined and visually distinguished with sufficient clarity.

Four key benefits for sponsors

Access to individual live content offers sponsors and partners several additional advantages:

• Lower production costs
  Short form content created during live events can be used directly. Additional production teams are often not required for this use case.

• Simpler licensing
  Access to authentic content that already includes the sponsor’s branding reduces cost and effort for sourcing and licensing agency material.

• Stronger brand association
  Linking sports content and sports values with the sponsor’s brand can strengthen brand affiliation and is often perceived positively by fans.

• More reach and engagement
  Short, authentic formats are especially relevant for audiences that primarily use social media, including Generation Z.

Real time media delivery as a challenge

Sponsors need fast and easy access to relevant digital media to leverage the momentum of a match day or competition day and the associated fan attention. Collecting, sorting, and distributing brand related content is time intensive when done manually.

Real time delivery becomes feasible only when large parts of the workflow are automated. This is where AI based image recognition comes in.

AI based real time delivery and how it works

AI based real time delivery relies on several technical components that work together. Five key building blocks are:

• Image recognition and classification
  Deep learning models analyse in real time which elements are present in an image or video. They can identify logos, text, people, and specific actions, for example a goal mouth situation in football.

• Metadata enrichment
  Detected elements are captured as metadata. Typical fields include brand references, location and time of capture, sport, and event. This enables precise search and filtering.

• Automated content generation
  Based on metadata, predefined content can be generated automatically. Examples include trigger rules that create highlight videos and specifications for how sponsor logos should be embedded in clips.

• Cloud based infrastructure
  Processing and storage take place in the cloud. This supports scalability of compute and storage resources as needed.

• Platform integration
  Generated content can be distributed automatically to target channels, for example a web based media portal, a mobile app, or social media platforms. APIs and integration services support delivery so content is available when audiences are most active.

Live analytics and reporting

Analytics tools monitor the performance of delivered content. Sponsors can see in real time:

• how often their logos appear across media

• what reach their content achieves

• how audiences respond

Big data technologies can also help identify recurring patterns and provide indications of future engagement trends.

Optional feature: language processing

Natural language processing, or NLP, can be used to enrich media that contains spoken language with text. One example is automatic subtitles. This improves accessibility and is relevant for digital accessibility requirements.

Conclusion

AI based systems are a key enabler for using the momentum and emotion of live events in media output. Combined with analytics and distribution, sports organisations and sponsors can make relevant content usable faster. This supports reach, audience activation, and brand presence.