Cricket Australia uses AI Insights to bring fans closer to the action

2026-04-23 · Source: The Microsoft Cloud Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Software Development & Engineering · Depth: Novice, medium

Summary

Cricket Australia has launched an "AI Insights" feature within its Live app, powered by OpenAI's GPT-5 via Microsoft Foundry and Azure OpenAI Service. This feature provides real-time, match-aware context on player milestones, records, and key moments, allowing fans to ask follow-up questions. The system integrates an extensive archive of official scorecards dating back to 1886, which was meticulously validated over three months. During the Ashes series, the AI Insights highlighted Travis Head's 172 runs as his fifth-highest aggregate total in a test, offering immediate historical context. The app leverages Microsoft Azure for scalability and Azure Cosmos DB for fast, reliable data updates, ensuring a seamless experience even under peak demand. This initiative aims to deepen fan engagement by transforming raw scores into compelling narratives and making the complex sport more accessible to newcomers.

Key takeaway

For product managers developing fan engagement platforms, integrating AI-driven contextual insights can significantly enhance user experience and attract new audiences. You should consider leveraging extensive historical data archives to provide real-time narratives, moving beyond basic scores to offer deeper understanding. This approach can increase app usage and cultivate a broader, more informed fanbase, especially for complex sports.

Key insights

Integrating historical data with real-time AI context enhances fan engagement and accessibility in sports.

Principles

• Context transforms scores into stories.
• Data trust is non-negotiable for fans.
• Real-time delivery boosts engagement.

Method

Cricket Australia integrated 130+ years of historical scorecards into an Azure-based app using Azure OpenAI Service and GPT-5 to generate real-time, contextual insights for live cricket matches, supported by Azure Cosmos DB for rapid data updates.

In practice

• Use historical data for real-time context.
• Prioritize data validation for fan trust.
• Tailor insights for different fan personas.

Topics

• Cricket Australia Live App
• AI Insights
• OpenAI GPT-5
• Microsoft Azure
• Fan Engagement

Best for: Executive, Product Manager, AI Product Manager, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Microsoft Cloud Blog.