This topic covers the AI platforms and enterprise stacks used to drive fan engagement at sports and live events, combining real‑time analytics, conversational CX, and marketing automation. Advances in multimodal generative models, managed ML platforms, and agent orchestration have made it practical to deliver in‑venue personalization, broadcast augmentation, voice/chat assistants, targeted marketing, and post‑event analytics at scale. Key platforms include Google Cloud’s Vertex AI (end‑to‑end ML model lifecycle and GenAI hosting) and Gemini (multimodal generative models and APIs) for building personalized content, highlights and recommendation engines; AWS solutions (SageMaker, Bedrock and edge/streaming services) for low‑latency inference, streaming telemetry and integration with broadcast/venue systems; and Infosys Magic as an enterprise implementation layer for industry workflows, CX integration and systems integration across ticketing, CRM and sponsorship analytics. Complementary enterprise tools—Anthropic’s Claude for conversational assistants, Kore.ai and IBM watsonx Assistant for multi‑agent CX orchestration, Cohere for private/custom LLMs and embeddings, Observe.AI for voice and contact‑center intelligence, and Microsoft 365 Copilot for internal productivity—fill roles from live voice bots and agent assists to marketing content generation and operator dashboards. Relevance in 2026 stems from matured GenAI models, more robust governance/observability requirements, and demand for measurable fan‑LTV and sponsorship ROI. Successful deployments combine streaming analytics, privacy‑aware data pipelines, low‑latency inference at the edge, and CX automation to unify in‑venue, mobile-app and broadcast touchpoints while maintaining governance and measurable outcomes.