How Agentic GenAI is Currently Used to Change Traditional Sports Media Workflows and Fan Experience to Watch Personalised Highlights
Key Notes from our speaker Vaibhav Panchal (Vebz)
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Aiko is an AI-powered sports companion designed to personalise fan engagement across live-streaming platforms, integrating federations, broadcasters, and gaming to meet the demands of younger, attention-fragmented audiences.
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The system combines hybrid LLMs with traditional machine learning to enable real-time, contextual conversations, tailored statistics, and personalised highlight reels during live matches.
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A live demo illustrated Aiko’s ability to learn user preferences dynamically, creating customised content experiences based on real-time match data and individual fan profiles.
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Aiko operates via multiple AI agents that process live events, generate commentary, and analyse match stats, all while maintaining high accuracy to avoid misinformation.
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Despite current response accuracy ranging between 88–95%, the team targets 99% while scaling to millions of concurrent users, with validation from industry players like Microsoft, Meta, and Google.
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Key development challenges such as hallucinations and data reliability are addressed through data sanitisation, enterprise-grade sources, and strict guardrails, positioning Aiko as a leader in hyper-personalised sports engagement.
