AI and Innovation

Fan Sentiment Analysis

Architecture guidance and mentoring for an applied AI initiative focused on analysing fan sentiment.

Context

An applied AI initiative explored how fan sentiment signals could be analysed in a structured, responsible way.

Challenge

Help the team frame the problem clearly, choose appropriate techniques and stay aligned with realistic use cases.

Wilson's contribution

  • Provided team mentoring throughout the initiative.
  • Guided architecture decisions.
  • Conducted technical reviews at key milestones.
  • Helped align the work with concrete use cases.

Approach

Anchored the work in clear use cases so model and architecture choices stayed connected to user value.

Outcome

  • Clearer framing of the sentiment problem space.
  • More confident technical direction for the team.