AIM-FORE : Adaptive Inter-Domain Models for Optimisation and Real-Time Evaluation

用于调解和改造面向公众的服务（如医疗保健，社会关怀，智慧城市和教育）的专业数字平台正在成为全球增长最快的技术领域之一。对于提供这些平台的公司来说，一个关键的成功因素是能够针对每个新客户领域进行快速优化，从而最大限度地提高平台本身的注册率、留存率和响应率，以及对人类行为、服务改进和最终服务交付成果的影响。在AIM-PLAN项目中，ADI公司将使用领先的机器学习和分析技术，在利兹数据分析研究所（利达）的支持下，我们创建了跨多个数据集的新模型，并开始试验这些知识如何缩短我们的平台适应每个新客户环境的时间。

Specialised digital platforms to mediate and transform public-facing services such as healthcare, social care, smart cities, and education, are becoming one of fastest-growing tech sectors globally. A critical success factor for companies providing these platforms is the ability to rapidly optimise for each new customer domain to maximise signup, retention and response rates within the platform itself, and the impact on human behaviours, service improvements, and ultimately on the outcomes delivered by the service.In the AIM-FORE project, ADI will use leading edge Machine Learning and analytics techniques, supported by the Leeds Institute for Data Analytics (LIDA), to create new models that span multiple data sets and start to experiment with how this knowledge can shorten the time to adapt our platforms to each new customer context.