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

专门的数字平台，用于调解和转变医疗保健、社会护理、智慧城市和教育等面向公众的服务，正成为全球增长最快的科技行业之一。对于提供这些平台的公司来说，一个关键的成功因素是快速优化每个新客户领域的能力，以最大限度地提高平台本身的注册、保留和响应率，以及对人类行为、服务改进和最终服务交付结果的影响。在AIM-FORE项目中，ADI将使用利兹数据分析研究所(LIDA)支持的尖端机器学习和分析技术来创建跨越多个数据集的新模型，并开始试验这些知识如何缩短使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.