博彩和游戏公司在个性化其产品以提高玩家参与度和留存率方面面临挑战。构建自定义推荐系统既昂贵又复杂,通常需要专门的数据科学团队。AWS 上的玩家参与解决方案使用预构建的机器学习模型和合作伙伴产品来简化这个流程。这些公司通过快速实施个性化的游戏、投注和促销优惠建议,可以增强顾客体验并最大限度地提高参与度。这种具有成本效益的方法使企业能够专注于核心运营,同时最大限度地提高负责任的玩家的参与度。

合作伙伴解决方案

来自 AWS 合作伙伴的软件、软件即服务或托管型服务

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指导

规范性的架构图、示例代码和技术内容

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  • Real-Time Casino Player Analytics on AWS

    This Guidance shows how your developers can build a real-time analytics pipeline that uses AI to deliver effective marketing offers during game sessions. By using gaming-machine and shuffler data to update machine learning (ML) models in real time, this pipeline predicts the best offers for individual customers. The analytics pipeline then returns these findings to your gaming machines and applications so that you can promote offers based on each user’s customer profile.
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